[DesireCourse.Net] Udemy - Complete Machine Learning and Data Science Zero to Mastery

磁力链接/BT种子名称

[DesireCourse.Net] Udemy - Complete Machine Learning and Data Science Zero to Mastery

磁力链接/BT种子简介

种子哈希：89cb97656e43ffedbc94ea2b471901af7a031aff
文件大小： 19.23G
已经下载：1768次
下载速度：极快
收录时间：2021-05-05
最近下载：2025-01-02

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:89CB97656E43FFEDBC94EA2B471901AF7A031AFF
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • 05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 238.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 199.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16 Career Advice Extra Bits/257 CWD Git Github.mp4 184.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4 184.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4 174.7 MB
  • 16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4 168.8 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4 166.9 MB
  • 09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4 166.0 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4 162.5 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4 156.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4 153.3 MB
  • 05 Data Science Environment Setup/035 Mac Environment Setup.mp4 151.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4 149.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4 147.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4 146.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4 146.1 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.mp4 144.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/168 Exploring Our Data.mp4 144.5 MB
  • 09 Scikit-learn Creating Machine Learning Models/108 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 09 Scikit-learn Creating Machine Learning Models/105 Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/211 Preparing The Images.mp4 140.4 MB
  • 16 Career Advice Extra Bits/259 Contributing To Open Source.mp4 136.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/231 Transform Predictions To Text.mp4 136.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/162 Finding The Most Important Features.mp4 133.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 Saving And Loading A Trained Model.mp4 133.2 MB
  • 05 Data Science Environment Setup/036 Mac Environment Setup 2.mp4 131.6 MB
  • 08 Matplotlib Plotting and Data Visualization/092 Customizing Your Plots 2.mp4 129.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 Visualizing Our Data.mp4 127.9 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 Building A Deep Learning Model.mp4 127.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/135 Tuning Hyperparameters 3.mp4 127.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 Submitting Model to Kaggle.mp4 127.2 MB
  • 08 Matplotlib Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.mp4 125.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 Visualizing Model Predictions.mp4 125.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 Making Predictions On Our Images.mp4 125.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/113 Choosing The Right Model For Your Data 3 (Classification).mp4 124.6 MB
  • 16 Career Advice Extra Bits/258 CWD Git Github 2.mp4 124.1 MB
  • 09 Scikit-learn Creating Machine Learning Models/140 Putting It All Together 2.mp4 122.5 MB
  • 09 Scikit-learn Creating Machine Learning Models/134 Tuning Hyperparameters 2.mp4 122.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/205 Importing TensorFlow 2.mp4 122.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/210 Loading Our Data Labels.mp4 120.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 Visualizing And Evaluate Model Predictions 3.mp4 118.7 MB
  • 16 Career Advice Extra Bits/260 Contributing To Open Source 2.mp4 118.5 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/156 Tuning Hyperparameters.mp4 113.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 Turning Data Labels Into Numbers.mp4 112.7 MB
  • 06 Pandas Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.mp4 111.7 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/172 Filling Missing Numerical Values.mp4 111.5 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 Building A Deep Learning Model 3.mp4 111.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 Building A Deep Learning Model 2.mp4 111.0 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/146 Step 1~4 Framework Setup.mp4 110.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 Preprocess Images 2.mp4 110.2 MB
  • 06 Pandas Data Analysis/052 Manipulating Data.mp4 110.1 MB
  • 09 Scikit-learn Creating Machine Learning Models/106 Getting Your Data Ready Handling Missing Values With Pandas.mp4 109.9 MB
  • 17 Learn Python/263 What Is A Programming Language.mp4 109.9 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/157 Tuning Hyperparameters 2.mp4 109.2 MB
  • 05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.mp4 108.9 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/177 Custom Evaluation Function.mp4 108.4 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/155 TuningImproving Our Model.mp4 107.8 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/198 Deep Learning and Unstructured Data.mp4 107.0 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/166 Project Environment Setup.mp4 106.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/145 Project Environment Setup.mp4 105.7 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/150 Finding Patterns 2.mp4 104.8 MB
  • 08 Matplotlib Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.mp4 103.6 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/153 Choosing The Right Models.mp4 101.1 MB
  • 09 Scikit-learn Creating Machine Learning Models/119 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 100.6 MB
  • 06 Pandas Data Analysis/047 Series Data Frames and CSVs.mp4 100.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/131 Evaluating A Model With Scikit-learn Functions.mp4 99.4 MB
  • 17 Learn Python/278 Variables.mp4 98.1 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/178 Reducing Data.mp4 98.0 MB
  • 17 Learn Python/264 Python Interpreter.mp4 98.0 MB
  • 08 Matplotlib Plotting and Data Visualization/091 Customizing Your Plots.mp4 96.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/130 Evaluating A Model With Cross Validation and Scoring Parameter.mp4 95.9 MB
  • 07 NumPy/069 Exercise Nut Butter Store Sales.mp4 95.8 MB
  • 06 Pandas Data Analysis/054 Manipulating Data 3.mp4 95.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/132 Improving A Machine Learning Model.mp4 95.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 Preprocess Images.mp4 94.5 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/209 Optional Reloading Colab Notebook.mp4 93.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/098 Refresher What Is Machine Learning.mp4 92.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 Turning Data Into Batches.mp4 92.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/125 Evaluating A Classification Model 6 (Classification Report).mp4 91.5 MB
  • 09 Scikit-learn Creating Machine Learning Models/118 Evaluating A Machine Learning Model (Score).mp4 91.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/110 Choosing The Right Model For Your Data 2 (Regression).mp4 91.1 MB
  • 06 Pandas Data Analysis/053 Manipulating Data 2.mp4 90.7 MB
  • 08 Matplotlib Plotting and Data Visualization/077 Importing And Using Matplotlib.mp4 90.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 Building A Deep Learning Model 4.mp4 90.5 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/163 Reviewing The Project.mp4 90.3 MB
  • 07 NumPy/072 Turn Images Into NumPy Arrays.mp4 90.1 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/179 RandomizedSearchCV.mp4 90.0 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/167 Step 1~4 Framework Setup.mp4 89.8 MB
  • 07 NumPy/068 Dot Product vs Element Wise.mp4 88.0 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/175 Splitting Data.mp4 86.7 MB
  • 18 Learn Python Part 2/355 Modules in Python.mp4 86.2 MB
  • 08 Matplotlib Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.mp4 86.1 MB
  • 17 Learn Python/267 Python 2 vs Python 3.mp4 86.1 MB
  • 08 Matplotlib Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.mp4 86.0 MB
  • 07 NumPy/064 Manipulating Arrays.mp4 84.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/207 Using A GPU.mp4 84.5 MB
  • 13 Data Engineering/192 Optional OLTP Databases.mp4 83.6 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/147 Getting Our Tools Ready.mp4 83.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 Evaluating Our Model.mp4 83.1 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/180 Improving Hyperparameters.mp4 83.1 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/182 Making Predictions.mp4 83.1 MB
  • 07 NumPy/060 NumPy DataTypes and Attributes.mp4 82.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/123 Evaluating A Classification Model 4 (Confusion Matrix).mp4 81.5 MB
  • 01 Introduction/001 Course Outline.mp4 81.0 MB
  • 06 Pandas Data Analysis/049 Describing Data with Pandas.mp4 79.2 MB
  • 09 Scikit-learn Creating Machine Learning Models/100 Scikit-learn Cheatsheet.mp4 78.8 MB
  • 08 Matplotlib Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.mp4 78.3 MB
  • 18 Learn Python Part 2/312 Conditional Logic.mp4 78.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/200 Setting Up Google Colab.mp4 77.8 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 Evaluating Performance With TensorBoard.mp4 77.8 MB
  • 17 Learn Python/272 Numbers.mp4 76.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/152 Preparing Our Data For Machine Learning.mp4 76.1 MB
  • 18 Learn Python Part 2/358 Packages in Python.mp4 75.9 MB
  • 06 Pandas Data Analysis/050 Selecting and Viewing Data with Pandas.mp4 75.9 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/159 Evaluating Our Model.mp4 75.1 MB
  • 05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.mp4 74.9 MB
  • 07 NumPy/063 Viewing Arrays and Matrices.mp4 74.1 MB
  • 09 Scikit-learn Creating Machine Learning Models/126 Evaluating A Regression Model 1 (R2 Score).mp4 73.8 MB
  • 08 Matplotlib Plotting and Data Visualization/080 Histograms And Subplots.mp4 73.1 MB
  • 17 Learn Python/288 Built-In Functions Methods.mp4 72.8 MB
  • 07 NumPy/065 Manipulating Arrays 2.mp4 71.2 MB
  • 18 Learn Python Part 2/346 Pure Functions.mp4 70.6 MB
  • 05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.mp4 70.6 MB
  • 08 Matplotlib Plotting and Data Visualization/079 Scatter Plot And Bar Plot.mp4 70.3 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/173 Filling Missing Categorical Values.mp4 70.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/148 Exploring Our Data.mp4 70.1 MB
  • 06 Pandas Data Analysis/056 How To Download The Course Assignments.mp4 70.0 MB
  • 07 NumPy/061 Creating NumPy Arrays.mp4 70.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/115 Making Predictions With Our Model.mp4 69.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 Creating Our Own Validation Set.mp4 69.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/121 Evaluating A Classification Model 2 (ROC Curve).mp4 69.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/161 Evaluating Our Model 3.mp4 68.0 MB
  • 17 Learn Python/310 Sets 2.mp4 67.4 MB
  • 17 Learn Python/265 How To Run Python Code.mp4 67.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/103 Getting Your Data Ready Splitting Your Data.mp4 66.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/124 Evaluating A Classification Model 5 (Confusion Matrix).mp4 66.7 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/149 Finding Patterns.mp4 66.4 MB
  • 18 Learn Python Part 2/334 return.mp4 66.1 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/158 Tuning Hyperparameters 3.mp4 66.1 MB
  • 17 Learn Python/296 List Methods.mp4 64.8 MB
  • 03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.mp4 63.4 MB
  • 08 Matplotlib Plotting and Data Visualization/083 Plotting From Pandas DataFrames.mp4 63.3 MB
  • 17 Learn Python/274 DEVELOPER FUNDAMENTALS I.mp4 62.6 MB
  • 08 Matplotlib Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.mp4 59.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/138 Saving And Loading A Model 2.mp4 59.5 MB
  • 09 Scikit-learn Creating Machine Learning Models/114 Fitting A Model To The Data.mp4 59.3 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/174 Fitting A Machine Learning Model.mp4 58.2 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/154 Experimenting With Machine Learning Models.mp4 58.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/128 Evaluating A Regression Model 3 (MSE).mp4 57.6 MB
  • 09 Scikit-learn Creating Machine Learning Models/116 predict() vs predict_proba().mp4 57.0 MB
  • 07 NumPy/067 Reshape and Transpose.mp4 56.1 MB
  • 18 Learn Python Part 2/351 List Comprehensions.mp4 55.9 MB
  • 18 Learn Python Part 2/357 Optional PyCharm.mp4 55.6 MB
  • 09 Scikit-learn Creating Machine Learning Models/137 Saving And Loading A Model.mp4 55.2 MB
  • 18 Learn Python Part 2/350 reduce().mp4 54.8 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/169 Exploring Our Data 2.mp4 54.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/202 Uploading Project Data.mp4 54.5 MB
  • 07 NumPy/062 NumPy Random Seed.mp4 54.4 MB
  • 07 NumPy/066 Standard Deviation and Variance.mp4 53.6 MB
  • 17 Learn Python/292 Exercise Password Checker.mp4 53.6 MB
  • 09 Scikit-learn Creating Machine Learning Models/122 Evaluating A Classification Model 3 (ROC Curve).mp4 53.1 MB
  • 17 Learn Python/290 Exercise Type Conversion.mp4 52.8 MB
  • 18 Learn Python Part 2/329 DEVELOPER FUNDAMENTALS IV.mp4 52.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 Preparing Our Inputs and Outputs.mp4 52.5 MB
  • 17 Learn Python/294 List Slicing.mp4 52.3 MB
  • 18 Learn Python Part 2/328 Our First GUI.mp4 52.0 MB
  • 08 Matplotlib Plotting and Data Visualization/093 Saving And Sharing Your Plots.mp4 51.9 MB
  • 17 Learn Python/285 Formatted Strings.mp4 51.6 MB
  • 17 Learn Python/286 String Indexes.mp4 51.5 MB
  • 08 Matplotlib Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.mp4 51.4 MB
  • 18 Learn Python Part 2/331 Functions.mp4 51.0 MB
  • 18 Learn Python Part 2/359 Different Ways To Import.mp4 50.3 MB
  • 05 Data Science Environment Setup/037 Windows Environment Setup.mp4 50.2 MB
  • 17 Learn Python/266 Our First Python Program.mp4 49.5 MB
  • 18 Learn Python Part 2/318 Exercise Logical Operators.mp4 48.9 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/208 Optional GPU and Google Colab.mp4 48.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 Summarizing Our Model.mp4 47.6 MB
  • 09 Scikit-learn Creating Machine Learning Models/117 Making Predictions With Our Model (Regression).mp4 47.1 MB
  • 03 Machine Learning and Data Science Framework/024 Modelling - Comparison.mp4 47.1 MB
  • 18 Learn Python Part 2/321 Iterables.mp4 45.3 MB
  • 18 Learn Python Part 2/339 args and kwargs.mp4 45.1 MB
  • 18 Learn Python Part 2/314 Truthy vs Falsey.mp4 44.9 MB
  • 02 Machine Learning 101/007 Exercise Machine Learning Playground.mp4 44.7 MB
  • 17 Learn Python/306 Dictionary Methods 2.mp4 44.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/203 Setting Up Our Data.mp4 44.3 MB
  • 13 Data Engineering/185 What Is Data.mp4 44.3 MB
  • 17 Learn Python/273 Math Functions.mp4 43.8 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/160 Evaluating Our Model 2.mp4 43.6 MB
  • 09 Scikit-learn Creating Machine Learning Models/096 Scikit-learn Introduction.mp4 42.6 MB
  • 17 Learn Python/299 Common List Patterns.mp4 42.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/201 Google Colab Workspace.mp4 41.6 MB
  • 17 Learn Python/269 Learning Python.mp4 40.4 MB
  • 18 Learn Python Part 2/347 map().mp4 40.2 MB
  • 18 Learn Python Part 2/333 Default Parameters and Keyword Arguments.mp4 40.0 MB
  • 08 Matplotlib Plotting and Data Visualization/081 Subplots Option 2.mp4 39.9 MB
  • 18 Learn Python Part 2/342 Scope Rules.mp4 39.5 MB
  • 17 Learn Python/309 Sets.mp4 38.8 MB
  • 03 Machine Learning and Data Science Framework/020 Features In Data.mp4 38.6 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 Preventing Overfitting.mp4 38.3 MB
  • 18 Learn Python Part 2/343 global Keyword.mp4 38.3 MB
  • 18 Learn Python Part 2/352 Set Comprehensions.mp4 37.1 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/144 Project Overview.mp4 36.1 MB
  • 18 Learn Python Part 2/320 For Loops.mp4 36.0 MB
  • 18 Learn Python Part 2/319 is vs.mp4 35.2 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/165 Project Overview.mp4 34.5 MB
  • 07 NumPy/071 Sorting Arrays.mp4 34.4 MB
  • 17 Learn Python/302 Dictionaries.mp4 34.3 MB
  • 13 Data Engineering/190 Types Of Databases.mp4 34.1 MB
  • 08 Matplotlib Plotting and Data Visualization/076 Matplotlib Introduction.mp4 33.0 MB
  • 09 Scikit-learn Creating Machine Learning Models/120 Evaluating A Classification Model 1 (Accuracy).mp4 32.9 MB
  • 17 Learn Python/281 Strings.mp4 32.5 MB
  • 18 Learn Python Part 2/336 Methods vs Functions.mp4 32.2 MB
  • 05 Data Science Environment Setup/034 Conda Environments.mp4 32.0 MB
  • 02 Machine Learning 101/008 How Did We Get Here.mp4 32.0 MB
  • 03 Machine Learning and Data Science Framework/018 Types of Data.mp4 30.7 MB
  • 17 Learn Python/291 DEVELOPER FUNDAMENTALS II.mp4 30.7 MB
  • 17 Learn Python/270 Python Data Types.mp4 30.3 MB
  • 09 Scikit-learn Creating Machine Learning Models/127 Evaluating A Regression Model 2 (MAE).mp4 29.9 MB
  • 18 Learn Python Part 2/317 Logical Operators.mp4 29.7 MB
  • 02 Machine Learning 101/005 What Is Machine Learning.mp4 29.7 MB
  • 18 Learn Python Part 2/323 range().mp4 29.7 MB
  • 18 Learn Python Part 2/325 While Loops.mp4 29.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/206 Optional TensorFlow 2.0 Default Issue.mp4 29.5 MB
  • 18 Learn Python Part 2/313 Indentation In Python.mp4 29.4 MB
  • 01 Introduction/004 Your First Day.mp4 29.3 MB
  • 17 Learn Python/298 List Methods 3.mp4 29.0 MB
  • 03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.mp4 28.8 MB
  • 06 Pandas Data Analysis/046 Pandas Introduction.mp4 28.8 MB
  • 17 Learn Python/297 List Methods 2.mp4 28.7 MB
  • 03 Machine Learning and Data Science Framework/027 Tools We Will Use.mp4 28.7 MB
  • 17 Learn Python/305 Dictionary Methods.mp4 28.5 MB
  • 07 NumPy/058 NumPy Introduction.mp4 28.1 MB
  • 17 Learn Python/303 DEVELOPER FUNDAMENTALS III.mp4 27.9 MB
  • 07 NumPy/070 Comparison Operators.mp4 27.6 MB
  • 17 Learn Python/268 Exercise How Does Python Work.mp4 27.2 MB
  • 18 Learn Python Part 2/326 While Loops 2.mp4 27.2 MB
  • 17 Learn Python/307 Tuples.mp4 26.9 MB
  • 02 Machine Learning 101/012 What Is Machine Learning Round 2.mp4 26.7 MB
  • 18 Learn Python Part 2/324 enumerate().mp4 26.0 MB
  • 13 Data Engineering/188 What Is A Data Engineer 3.mp4 25.5 MB
  • 13 Data Engineering/187 What Is A Data Engineer 2.mp4 25.4 MB
  • 15 Storytelling Communication How To Present Your Work/245 Weekend Project Principle.mp4 24.7 MB
  • 18 Learn Python Part 2/348 filter().mp4 24.7 MB
  • 03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.mp4 24.6 MB
  • 03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.mp4 24.4 MB
  • 17 Learn Python/284 Escape Sequences.mp4 24.3 MB
  • 18 Learn Python Part 2/332 Parameters and Arguments.mp4 24.3 MB
  • 02 Machine Learning 101/010 Types of Machine Learning.mp4 23.9 MB
  • 18 Learn Python Part 2/327 break continue pass.mp4 23.3 MB
  • 18 Learn Python Part 2/353 Exercise Comprehensions.mp4 23.0 MB
  • 17 Learn Python/293 Lists.mp4 23.0 MB
  • 17 Learn Python/277 Optional bin() and complex.mp4 23.0 MB
  • 18 Learn Python Part 2/340 Exercise Functions.mp4 22.9 MB
  • 03 Machine Learning and Data Science Framework/026 Experimentation.mp4 22.4 MB
  • 18 Learn Python Part 2/349 zip().mp4 22.3 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/204 Setting Up Our Data 2.mp4 21.9 MB
  • 17 Learn Python/287 Immutability.mp4 21.8 MB
  • 17 Learn Python/304 Dictionary Keys.mp4 21.4 MB
  • 18 Learn Python Part 2/311 Breaking The Flow.mp4 21.3 MB
  • 18 Learn Python Part 2/330 Exercise Find Duplicates.mp4 21.2 MB
  • 15 Storytelling Communication How To Present Your Work/242 Communicating Your Work.mp4 21.2 MB
  • 18 Learn Python Part 2/341 Scope.mp4 21.1 MB
  • 18 Learn Python Part 2/315 Ternary Operator.mp4 20.7 MB
  • 02 Machine Learning 101/006 AIMachine LearningData Science.mp4 20.6 MB
  • 18 Learn Python Part 2/338 Clean Code.mp4 20.6 MB
  • 02 Machine Learning 101/009 Exercise YouTube Recommendation Engine.mp4 20.4 MB
  • 18 Learn Python Part 2/316 Short Circuiting.mp4 20.3 MB
  • 05 Data Science Environment Setup/032 Introducing Our Tools.mp4 20.2 MB
  • 13 Data Engineering/196 Kafka and Stream Processing.mp4 20.2 MB
  • 18 Learn Python Part 2/345 Why Do We Need Scope.mp4 20.1 MB
  • 17 Learn Python/295 Matrix.mp4 20.1 MB
  • 17 Learn Python/283 Type Conversion.mp4 19.9 MB
  • 15 Storytelling Communication How To Present Your Work/244 Communicating With Co-Workers.mp4 19.9 MB
  • 15 Storytelling Communication How To Present Your Work/243 Communicating With Managers.mp4 19.3 MB
  • 18 Learn Python Part 2/344 nonlocal Keyword.mp4 19.1 MB
  • 03 Machine Learning and Data Science Framework/019 Types of Evaluation.mp4 18.6 MB
  • 18 Learn Python Part 2/337 Docstrings.mp4 18.2 MB
  • 17 Learn Python/308 Tuples 2.mp4 17.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/136 Quick Tip Correlation Analysis.mp4 17.7 MB
  • 17 Learn Python/289 Booleans.mp4 17.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/104 Quick Tip Clean Transform Reduce.mp4 17.3 MB
  • 18 Learn Python Part 2/322 Exercise Tricky Counter.mp4 17.2 MB
  • 03 Machine Learning and Data Science Framework/023 Modelling - Tuning.mp4 16.8 MB
  • 16 Career Advice Extra Bits/255 JTS Start With Why.mp4 16.2 MB
  • 17 Learn Python/280 Augmented Assignment Operator.mp4 16.1 MB
  • 13 Data Engineering/186 What Is A Data Engineer.mp4 15.9 MB
  • 13 Data Engineering/189 What Is A Data Engineer 4.mp4 15.7 MB
  • 15 Storytelling Communication How To Present Your Work/246 Communicating With Outside World.mp4 15.2 MB
  • 17 Learn Python/275 Operator Precedence.mp4 15.1 MB
  • 17 Learn Python/300 List Unpacking.mp4 14.5 MB
  • 13 Data Engineering/184 Data Engineering Introduction.mp4 14.2 MB
  • 03 Machine Learning and Data Science Framework/014 Section Overview.mp4 14.0 MB
  • 07 NumPy/057 Section Overview.mp4 14.0 MB
  • 05 Data Science Environment Setup/033 What is Conda.mp4 13.1 MB
  • 09 Scikit-learn Creating Machine Learning Models/095 Section Overview.mp4 13.1 MB
  • 08 Matplotlib Plotting and Data Visualization/082 Quick Tip Data Visualizations.mp4 12.8 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/197 Section Overview.mp4 12.8 MB
  • 15 Storytelling Communication How To Present Your Work/247 Storytelling.mp4 12.6 MB
  • 03 Machine Learning and Data Science Framework/015 Introducing Our Framework.mp4 11.9 MB
  • 16 Career Advice Extra Bits/254 JTS Learn to Learn.mp4 11.7 MB
  • 20 Where To Go From Here/363 Thank You.mp4 11.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/112 Quick Tip How ML Algorithms Work.mp4 11.6 MB
  • 17 Learn Python/279 Expressions vs Statements.mp4 11.5 MB
  • 15 Storytelling Communication How To Present Your Work/241 Section Overview.mp4 11.4 MB
  • 06 Pandas Data Analysis/044 Section Overview.mp4 11.4 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/143 Section Overview.mp4 10.7 MB
  • 13 Data Engineering/194 Hadoop HDFS and MapReduce.mp4 10.6 MB
  • 04 The 2 Paths/029 The 2 Paths.mp4 10.2 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/164 Section Overview.mp4 9.4 MB
  • 08 Matplotlib Plotting and Data Visualization/075 Section Overview.mp4 9.0 MB
  • 17 Learn Python/301 None.mp4 8.3 MB
  • 17 Learn Python/282 String Concatenation.mp4 7.7 MB
  • 07 NumPy/072 numpy-images.zip 7.6 MB
  • 05 Data Science Environment Setup/031 Section Overview.mp4 6.3 MB
  • 13 Data Engineering/195 Apache Spark and Apache Flink.mp4 6.0 MB
  • 02 Machine Learning 101/013 Section Review.mp4 5.8 MB
  • 08 Matplotlib Plotting and Data Visualization/078 matplotlib-anatomy-of-a-plot-with-code.png 670.5 kB
  • 08 Matplotlib Plotting and Data Visualization/078 matplotlib-anatomy-of-a-plot.png 378.3 kB
  • 06 Pandas Data Analysis/047 pandas-anatomy-of-a-dataframe.png 341.2 kB
  • 06 Pandas Data Analysis/053 pandas-anatomy-of-a-dataframe.png 341.2 kB
  • 05 Data Science Environment Setup/041 6-step-ml-framework.png 332.0 kB
  • 05 Data Science Environment Setup/033 conda-cheatsheet.pdf 206.1 kB
  • 09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.en.srt 32.5 kB
  • 05 Data Science Environment Setup/038 Windows Environment Setup 2.en.srt 32.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.en.srt 31.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.en.srt 27.1 kB
  • 09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.en.srt 26.1 kB
  • 05 Data Science Environment Setup/035 Mac Environment Setup.en.srt 24.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/108 Getting Your Data Ready Handling Missing Values With Scikit-learn.en.srt 23.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.en.srt 23.6 kB
  • 09 Scikit-learn Creating Machine Learning Models/105 Getting Your Data Ready Convert Data To Numbers.en.srt 23.3 kB
  • 05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.en.srt 23.0 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/162 Finding The Most Important Features.en.srt 22.9 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/150 Finding Patterns 2.en.srt 22.9 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.en.srt 22.9 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.en.srt 22.7 kB
  • 09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.en.srt 21.9 kB
  • 16 Career Advice Extra Bits/257 CWD Git Github.en.srt 21.7 kB
  • 09 Scikit-learn Creating Machine Learning Models/103 scikit-learn-data.zip 21.3 kB
  • 05 Data Science Environment Setup/036 Mac Environment Setup 2.en.srt 21.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.en.srt 20.8 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/198 Deep Learning and Unstructured Data.en.srt 20.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.en.srt 20.6 kB
  • 16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.en.srt 20.5 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/168 Exploring Our Data.en.srt 20.5 kB
  • 07 NumPy/060 NumPy DataTypes and Attributes.en.srt 19.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.en.srt 19.6 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.en.srt 19.6 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.en.srt 19.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/135 Tuning Hyperparameters 3.en.srt 19.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 Making Predictions On Our Images.en.srt 19.0 kB
  • 16 Career Advice Extra Bits/258 CWD Git Github 2.en.srt 18.7 kB
  • 06 Pandas Data Analysis/052 Manipulating Data.en.srt 18.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/130 Evaluating A Model With Cross Validation and Scoring Parameter.en.srt 18.4 kB
  • 06 Pandas Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.en.srt 18.4 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.en.srt 18.2 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/155 TuningImproving Our Model.en.srt 18.1 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.en.srt 18.1 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/231 Transform Predictions To Text.en.srt 18.0 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.en.srt 17.7 kB
  • 09 Scikit-learn Creating Machine Learning Models/119 Evaluating A Machine Learning Model 2 (Cross Validation).en.srt 17.7 kB
  • 16 Career Advice Extra Bits/259 Contributing To Open Source.en.srt 17.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/113 Choosing The Right Model For Your Data 3 (Classification).en.srt 17.5 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 Visualizing Model Predictions.en.srt 17.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/134 Tuning Hyperparameters 2.en.srt 17.4 kB
  • 07 NumPy/069 Exercise Nut Butter Store Sales.en.srt 17.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/106 Getting Your Data Ready Handling Missing Values With Pandas.en.srt 17.4 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/172 Filling Missing Numerical Values.en.srt 17.3 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 Saving And Loading A Trained Model.en.srt 17.3 kB
  • 06 Pandas Data Analysis/047 Series Data Frames and CSVs.en.srt 17.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/205 Importing TensorFlow 2.en.srt 17.2 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/146 Step 1~4 Framework Setup.en.srt 17.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 Submitting Model to Kaggle.en.srt 17.0 kB
  • 09 Scikit-learn Creating Machine Learning Models/131 Evaluating A Model With Scikit-learn Functions.en.srt 16.7 kB
  • 07 NumPy/064 Manipulating Arrays.en.srt 16.6 kB
  • 09 Scikit-learn Creating Machine Learning Models/140 Putting It All Together 2.en.srt 16.5 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/177 Custom Evaluation Function.en.srt 16.5 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/210 Loading Our Data Labels.en.srt 16.5 kB
  • 08 Matplotlib Plotting and Data Visualization/077 Importing And Using Matplotlib.en.srt 16.4 kB
  • 17 Learn Python/278 Variables.en.srt 16.4 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 Building A Deep Learning Model.en.srt 16.3 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/166 Project Environment Setup.en.srt 16.3 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/156 Tuning Hyperparameters.en.srt 16.0 kB
  • 18 Learn Python Part 2/312 Conditional Logic.en.srt 16.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 Visualizing Our Data.en.srt 16.0 kB
  • 07 NumPy/068 Dot Product vs Element Wise.en.srt 15.7 kB
  • 05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.en.srt 15.5 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/211 Preparing The Images.en.srt 15.5 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/159 Evaluating Our Model.en.srt 15.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/123 Evaluating A Classification Model 4 (Confusion Matrix).en.srt 15.5 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/157 Tuning Hyperparameters 2.en.srt 15.5 kB
  • 18 Learn Python Part 2/334 return.en.srt 15.3 kB
  • 08 Matplotlib Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.en.srt 15.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/132 Improving A Machine Learning Model.en.srt 15.2 kB
  • 08 Matplotlib Plotting and Data Visualization/079 Scatter Plot And Bar Plot.en.srt 15.0 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/178 Reducing Data.en.srt 15.0 kB
  • 06 Pandas Data Analysis/050 Selecting and Viewing Data with Pandas.en.srt 14.9 kB
  • 09 Scikit-learn Creating Machine Learning Models/125 Evaluating A Classification Model 6 (Classification Report).en.srt 14.9 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/145 Project Environment Setup.en.srt 14.7 kB
  • 08 Matplotlib Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.en.srt 14.5 kB
  • 03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.en.srt 14.3 kB
  • 08 Matplotlib Plotting and Data Visualization/091 Customizing Your Plots.en.srt 14.3 kB
  • 06 Pandas Data Analysis/053 Manipulating Data 2.en.srt 14.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 Visualizing And Evaluate Model Predictions 3.en.srt 14.1 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/163 Reviewing The Project.en.srt 14.1 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 Turning Data Labels Into Numbers.en.srt 14.1 kB
  • 06 Pandas Data Analysis/054 Manipulating Data 3.en.srt 14.0 kB
  • 08 Matplotlib Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.en.srt 14.0 kB
  • 06 Pandas Data Analysis/049 Describing Data with Pandas.en.srt 13.9 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/175 Splitting Data.en.srt 13.8 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/149 Finding Patterns.en.srt 13.7 kB
  • 08 Matplotlib Plotting and Data Visualization/092 Customizing Your Plots 2.en.srt 13.6 kB
  • 03 Machine Learning and Data Science Framework/024 Modelling - Comparison.en.srt 13.4 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/153 Choosing The Right Models.en.srt 13.3 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 Preprocess Images.en.srt 13.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 Preprocess Images 2.en.srt 13.2 kB
  • 07 NumPy/063 Viewing Arrays and Matrices.en.srt 13.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/118 Evaluating A Machine Learning Model (Score).en.srt 13.2 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/147 Getting Our Tools Ready.en.srt 13.1 kB
  • 18 Learn Python Part 2/355 Modules in Python.en.srt 13.0 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/179 RandomizedSearchCV.en.srt 13.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 Building A Deep Learning Model 2.en.srt 12.8 kB
  • 18 Learn Python Part 2/358 Packages in Python.en.srt 12.8 kB
  • 08 Matplotlib Plotting and Data Visualization/080 Histograms And Subplots.en.srt 12.7 kB
  • 07 NumPy/061 Creating NumPy Arrays.en.srt 12.7 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/167 Step 1~4 Framework Setup.en.srt 12.7 kB
  • 09 Scikit-learn Creating Machine Learning Models/121 Evaluating A Classification Model 2 (ROC Curve).en.srt 12.6 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/207 Using A GPU.en.srt 12.4 kB
  • 13 Data Engineering/192 Optional OLTP Databases.en.srt 12.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/115 Making Predictions With Our Model.en.srt 12.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/103 Getting Your Data Ready Splitting Your Data.en.srt 12.4 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 Building A Deep Learning Model 4.en.srt 12.3 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/152 Preparing Our Data For Machine Learning.en.srt 12.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/126 Evaluating A Regression Model 1 (R2 Score).en.srt 12.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/110 Choosing The Right Model For Your Data 2 (Regression).en.srt 12.3 kB
  • 08 Matplotlib Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.en.srt 11.9 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 Turning Data Into Batches.en.srt 11.9 kB
  • 09 Scikit-learn Creating Machine Learning Models/116 predict() vs predict_proba().en.srt 11.8 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/161 Evaluating Our Model 3.en.srt 11.8 kB
  • 07 NumPy/065 Manipulating Arrays 2.en.srt 11.8 kB
  • 05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.en.srt 11.8 kB
  • 08 Matplotlib Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.en.srt 11.7 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/148 Exploring Our Data.en.srt 11.7 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/182 Making Predictions.en.srt 11.6 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 Creating Our Own Validation Set.en.srt 11.6 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 Building A Deep Learning Model 3.en.srt 11.5 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/173 Filling Missing Categorical Values.en.srt 11.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/124 Evaluating A Classification Model 5 (Confusion Matrix).en.srt 11.5 kB
  • 17 Learn Python/272 Numbers.en.srt 11.4 kB
  • 08 Matplotlib Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.en.srt 11.3 kB
  • 05 Data Science Environment Setup/041 heart-disease.csv 11.3 kB
  • 08 Matplotlib Plotting and Data Visualization/087 heart-disease.csv 11.3 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/148 heart-disease.csv 11.3 kB
  • 06 Pandas Data Analysis/056 How To Download The Course Assignments.en.srt 11.3 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/180 Improving Hyperparameters.en.srt 11.3 kB
  • 17 Learn Python/296 List Methods.en.srt 11.0 kB
  • 09 Scikit-learn Creating Machine Learning Models/096 Scikit-learn Introduction.en.srt 10.9 kB
  • 18 Learn Python Part 2/357 Optional PyCharm.en.srt 10.8 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/174 Fitting A Machine Learning Model.en.srt 10.7 kB
  • 07 NumPy/072 Turn Images Into NumPy Arrays.en.srt 10.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 Evaluating Our Model.en.srt 10.7 kB
  • 18 Learn Python Part 2/328 Our First GUI.en.srt 10.6 kB
  • 17 Learn Python/288 Built-In Functions Methods.en.srt 10.5 kB
  • 16 Career Advice Extra Bits/260 Contributing To Open Source 2.en.srt 10.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/100 Scikit-learn Cheatsheet.en.srt 10.3 kB
  • 18 Learn Python Part 2/346 Pure Functions.en.srt 10.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/122 Evaluating A Classification Model 3 (ROC Curve).en.srt 10.3 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/144 Project Overview.en.srt 10.3 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/158 Tuning Hyperparameters 3.en.srt 10.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/137 Saving And Loading A Model.en.srt 10.1 kB
  • 07 NumPy/062 NumPy Random Seed.en.srt 10.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/200 Setting Up Google Colab.en.srt 9.9 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/154 Experimenting With Machine Learning Models.en.srt 9.9 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 Evaluating Performance With TensorBoard.en.srt 9.8 kB
  • 07 NumPy/067 Reshape and Transpose.en.srt 9.8 kB
  • 08 Matplotlib Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.en.srt 9.6 kB
  • 18 Learn Python Part 2/351 List Comprehensions.en.srt 9.6 kB
  • 07 NumPy/066 Standard Deviation and Variance.en.srt 9.6 kB
  • 09 Scikit-learn Creating Machine Learning Models/114 Fitting A Model To The Data.en.srt 9.6 kB
  • 17 Learn Python/310 Sets 2.en.srt 9.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/128 Evaluating A Regression Model 3 (MSE).en.srt 9.5 kB
  • 17 Learn Python/286 String Indexes.en.srt 9.4 kB
  • 18 Learn Python Part 2/331 Functions.en.srt 9.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/117 Making Predictions With Our Model (Regression).en.srt 9.3 kB
  • 17 Learn Python/266 Our First Python Program.en.srt 9.2 kB
  • 08 Matplotlib Plotting and Data Visualization/083 Plotting From Pandas DataFrames.en.srt 9.2 kB
  • 15 Storytelling Communication How To Present Your Work/245 Weekend Project Principle.en.srt 9.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/138 Saving And Loading A Model 2.en.srt 9.2 kB
  • 01 Introduction/001 Course Outline.en.srt 9.1 kB
  • 17 Learn Python/285 Formatted Strings.en.srt 9.0 kB
  • 07 NumPy/071 Sorting Arrays.en.srt 9.0 kB
  • 02 Machine Learning 101/005 What Is Machine Learning.en.srt 8.9 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/202 Uploading Project Data.en.srt 8.8 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/169 Exploring Our Data 2.en.srt 8.8 kB
  • 17 Learn Python/290 Exercise Type Conversion.en.srt 8.8 kB
  • 17 Learn Python/294 List Slicing.en.srt 8.7 kB
  • 18 Learn Python Part 2/342 Scope Rules.en.srt 8.7 kB
  • 17 Learn Python/309 Sets.en.srt 8.6 kB
  • 18 Learn Python Part 2/318 Exercise Logical Operators.en.srt 8.6 kB
  • 18 Learn Python Part 2/350 reduce().en.srt 8.6 kB
  • 13 Data Engineering/190 Types Of Databases.en.srt 8.6 kB
  • 17 Learn Python/264 Python Interpreter.en.srt 8.5 kB
  • 17 Learn Python/267 Python 2 vs Python 3.en.srt 8.4 kB
  • 18 Learn Python Part 2/319 is vs.en.srt 8.3 kB
  • 18 Learn Python Part 2/317 Logical Operators.en.srt 8.3 kB
  • 02 Machine Learning 101/007 Exercise Machine Learning Playground.en.srt 8.3 kB
  • 18 Learn Python Part 2/339 args and kwargs.en.srt 8.3 kB
  • 08 Matplotlib Plotting and Data Visualization/076 Matplotlib Introduction.en.srt 8.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/129 Machine Learning Model Evaluation.html 8.2 kB
  • 17 Learn Python/292 Exercise Password Checker.en.srt 8.1 kB
  • 18 Learn Python Part 2/329 DEVELOPER FUNDAMENTALS IV.en.srt 8.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 Preparing Our Inputs and Outputs.en.srt 8.0 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/209 Optional Reloading Colab Notebook.en.srt 8.0 kB
  • 03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.en.srt 7.9 kB
  • 05 Data Science Environment Setup/037 Windows Environment Setup.en.srt 7.8 kB
  • 13 Data Engineering/185 What Is Data.en.srt 7.8 kB
  • 18 Learn Python Part 2/320 For Loops.en.srt 7.7 kB
  • 07 NumPy/058 NumPy Introduction.en.srt 7.7 kB
  • 18 Learn Python Part 2/359 Different Ways To Import.en.srt 7.7 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/160 Evaluating Our Model 2.en.srt 7.6 kB
  • 18 Learn Python Part 2/325 While Loops.en.srt 7.5 kB
  • 17 Learn Python/306 Dictionary Methods 2.en.srt 7.3 kB
  • 17 Learn Python/302 Dictionaries.en.srt 7.3 kB
  • 02 Machine Learning 101/008 How Did We Get Here.en.srt 7.2 kB
  • 17 Learn Python/263 What Is A Programming Language.en.srt 7.2 kB
  • 18 Learn Python Part 2/321 Iterables.en.srt 7.0 kB
  • 03 Machine Learning and Data Science Framework/020 Features In Data.en.srt 6.9 kB
  • 18 Learn Python Part 2/343 global Keyword.en.srt 6.8 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/165 Project Overview.en.srt 6.8 kB
  • 03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.en.srt 6.8 kB
  • 18 Learn Python Part 2/352 Set Comprehensions.en.srt 6.7 kB
  • 03 Machine Learning and Data Science Framework/018 Types of Data.en.srt 6.7 kB
  • 17 Learn Python/265 How To Run Python Code.en.srt 6.6 kB
  • 09 Scikit-learn Creating Machine Learning Models/104 Quick Tip Clean Transform Reduce.en.srt 6.6 kB
  • 18 Learn Python Part 2/326 While Loops 2.en.srt 6.6 kB
  • 08 Matplotlib Plotting and Data Visualization/081 Subplots Option 2.en.srt 6.5 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/203 Setting Up Our Data.en.srt 6.5 kB
  • 02 Machine Learning 101/006 AIMachine LearningData Science.en.srt 6.5 kB
  • 09 Scikit-learn Creating Machine Learning Models/098 Refresher What Is Machine Learning.en.srt 6.5 kB
  • 13 Data Engineering/187 What Is A Data Engineer 2.en.srt 6.5 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/201 Google Colab Workspace.en.srt 6.5 kB
  • 17 Learn Python/281 Strings.en.srt 6.4 kB
  • 18 Learn Python Part 2/347 map().en.srt 6.4 kB
  • 03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.en.srt 6.4 kB
  • 05 Data Science Environment Setup/034 Conda Environments.en.srt 6.3 kB
  • 02 Machine Learning 101/012 What Is Machine Learning Round 2.en.srt 6.2 kB
  • 03 Machine Learning and Data Science Framework/027 Tools We Will Use.en.srt 6.1 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/208 Optional GPU and Google Colab.en.srt 6.1 kB
  • 18 Learn Python Part 2/314 Truthy vs Falsey.en.srt 6.1 kB
  • 18 Learn Python Part 2/333 Default Parameters and Keyword Arguments.en.srt 6.1 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 Summarizing Our Model.en.srt 6.1 kB
  • 09 Scikit-learn Creating Machine Learning Models/120 Evaluating A Classification Model 1 (Accuracy).en.srt 6.0 kB
  • 18 Learn Python Part 2/323 range().en.srt 6.0 kB
  • 08 Matplotlib Plotting and Data Visualization/093 Saving And Sharing Your Plots.en.srt 6.0 kB
  • 17 Learn Python/299 Common List Patterns.en.srt 6.0 kB
  • 09 Scikit-learn Creating Machine Learning Models/127 Evaluating A Regression Model 2 (MAE).en.srt 5.8 kB
  • 17 Learn Python/307 Tuples.en.srt 5.8 kB
  • 02 Machine Learning 101/009 Exercise YouTube Recommendation Engine.en.srt 5.8 kB
  • 17 Learn Python/293 Lists.en.srt 5.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 Preventing Overfitting.en.srt 5.7 kB
  • 15 Storytelling Communication How To Present Your Work/244 Communicating With Co-Workers.en.srt 5.7 kB
  • 17 Learn Python/273 Math Functions.en.srt 5.6 kB
  • 13 Data Engineering/188 What Is A Data Engineer 3.en.srt 5.5 kB
  • 18 Learn Python Part 2/338 Clean Code.en.srt 5.5 kB
  • 17 Learn Python/291 DEVELOPER FUNDAMENTALS II.en.srt 5.4 kB
  • 18 Learn Python Part 2/313 Indentation In Python.en.srt 5.4 kB
  • 02 Machine Learning 101/010 Types of Machine Learning.en.srt 5.4 kB
  • 01 Introduction/004 Your First Day.en.srt 5.4 kB
  • 17 Learn Python/305 Dictionary Methods.en.srt 5.4 kB
  • 07 NumPy/070 Comparison Operators.en.srt 5.4 kB
  • 18 Learn Python Part 2/327 break continue pass.en.srt 5.4 kB
  • 18 Learn Python Part 2/336 Methods vs Functions.en.srt 5.4 kB
  • 17 Learn Python/274 DEVELOPER FUNDAMENTALS I.en.srt 5.3 kB
  • 17 Learn Python/270 Python Data Types.en.srt 5.3 kB
  • 18 Learn Python Part 2/348 filter().en.srt 5.2 kB
  • 13 Data Engineering/196 Kafka and Stream Processing.en.srt 5.2 kB
  • 17 Learn Python/298 List Methods 3.en.srt 5.1 kB
  • 17 Learn Python/284 Escape Sequences.en.srt 5.1 kB
  • 03 Machine Learning and Data Science Framework/026 Experimentation.en.srt 5.1 kB
  • 18 Learn Python Part 2/353 Exercise Comprehensions.en.srt 5.1 kB
  • 13 Data Engineering/186 What Is A Data Engineer.en.srt 5.0 kB
  • 18 Learn Python Part 2/332 Parameters and Arguments.en.srt 5.0 kB
  • 03 Machine Learning and Data Science Framework/023 Modelling - Tuning.en.srt 5.0 kB
  • 15 Storytelling Communication How To Present Your Work/242 Communicating Your Work.en.srt 5.0 kB
  • 18 Learn Python Part 2/315 Ternary Operator.en.srt 4.9 kB
  • 17 Learn Python/277 Optional bin() and complex.en.srt 4.9 kB
  • 18 Learn Python Part 2/345 Why Do We Need Scope.en.srt 4.9 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/240 Finishing Dog Vision Where to next.html 4.8 kB
  • 04 The 2 Paths/029 The 2 Paths.en.srt 4.8 kB
  • 13 Data Engineering/194 Hadoop HDFS and MapReduce.en.srt 4.8 kB
  • 18 Learn Python Part 2/340 Exercise Functions.en.srt 4.8 kB
  • 03 Machine Learning and Data Science Framework/014 Section Overview.en.srt 4.8 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/external-assets-links.txt 4.7 kB
  • 18 Learn Python Part 2/324 enumerate().en.srt 4.7 kB
  • 15 Storytelling Communication How To Present Your Work/243 Communicating With Managers.en.srt 4.6 kB
  • 15 Storytelling Communication How To Present Your Work/246 Communicating With Outside World.en.srt 4.6 kB
  • 17 Learn Python/297 List Methods 2.en.srt 4.6 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/206 Optional TensorFlow 2.0 Default Issue.en.srt 4.6 kB
  • 18 Learn Python Part 2/316 Short Circuiting.en.srt 4.6 kB
  • 18 Learn Python Part 2/330 Exercise Find Duplicates.en.srt 4.5 kB
  • 05 Data Science Environment Setup/032 Introducing Our Tools.en.srt 4.4 kB
  • 03 Machine Learning and Data Science Framework/019 Types of Evaluation.en.srt 4.4 kB
  • 18 Learn Python Part 2/337 Docstrings.en.srt 4.4 kB
  • 13 Data Engineering/184 Data Engineering Introduction.en.srt 4.4 kB
  • 17 Learn Python/304 Dictionary Keys.en.srt 4.3 kB
  • 17 Learn Python/295 Matrix.en.srt 4.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/095 Section Overview.en.srt 4.2 kB
  • 15 Storytelling Communication How To Present Your Work/247 Storytelling.en.srt 4.2 kB
  • 18 Learn Python Part 2/344 nonlocal Keyword.en.srt 4.2 kB
  • 15 Storytelling Communication How To Present Your Work/248 Communicating and sharing your work Further reading.html 4.1 kB
  • 17 Learn Python/289 Booleans.en.srt 4.0 kB
  • 13 Data Engineering/189 What Is A Data Engineer 4.en.srt 4.0 kB
  • 18 Learn Python Part 2/341 Scope.en.srt 3.9 kB
  • 06 Pandas Data Analysis/044 Section Overview.en.srt 3.8 kB
  • 03 Machine Learning and Data Science Framework/015 Introducing Our Framework.en.srt 3.8 kB
  • 20 Where To Go From Here/363 Thank You.en.srt 3.7 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/220 Optional How machines learn and whats going on behind the scenes.html 3.7 kB
  • 17 Learn Python/303 DEVELOPER FUNDAMENTALS III.en.srt 3.7 kB
  • 18 Learn Python Part 2/322 Exercise Tricky Counter.en.srt 3.7 kB
  • 17 Learn Python/275 Operator Precedence.en.srt 3.6 kB
  • 17 Learn Python/287 Immutability.en.srt 3.6 kB
  • 05 Data Science Environment Setup/033 What is Conda.en.srt 3.5 kB
  • 01 Introduction/003 Exercise Meet The Community.html 3.4 kB
  • 15 Storytelling Communication How To Present Your Work/241 Section Overview.en.srt 3.4 kB
  • 18 Learn Python Part 2/349 zip().en.srt 3.3 kB
  • 05 Data Science Environment Setup/040 Sharing your Conda Environment.html 3.3 kB
  • 01 Introduction/002 Join Our Online Classroom.html 3.2 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/143 Section Overview.en.srt 3.2 kB
  • 07 NumPy/057 Section Overview.en.srt 3.2 kB
  • 09 Scikit-learn Creating Machine Learning Models/136 Quick Tip Correlation Analysis.en.srt 3.2 kB
  • 17 Learn Python/283 Type Conversion.en.srt 3.2 kB
  • 17 Learn Python/308 Tuples 2.en.srt 3.1 kB
  • 09 Scikit-learn Creating Machine Learning Models/107 Note Correction in the upcoming video (splitting data).html 3.1 kB
  • 07 NumPy/073 Assignment NumPy Practice.html 3.1 kB
  • 18 Learn Python Part 2/311 Breaking The Flow.en.srt 3.1 kB
  • 16 Career Advice Extra Bits/255 JTS Start With Why.en.srt 3.0 kB
  • 17 Learn Python/280 Augmented Assignment Operator.en.srt 3.0 kB
  • 16 Career Advice Extra Bits/249 Endorsements On LinkedIn.html 3.0 kB
  • 17 Learn Python/300 List Unpacking.en.srt 3.0 kB
  • 09 Scikit-learn Creating Machine Learning Models/141 Scikit-Learn Practice.html 3.0 kB
  • 08 Matplotlib Plotting and Data Visualization/094 Assignment Matplotlib Practice.html 3.0 kB
  • 06 Pandas Data Analysis/055 Assignment Pandas Practice.html 3.0 kB
  • 17 Learn Python/268 Exercise How Does Python Work.en.srt 2.9 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/197 Section Overview.en.srt 2.8 kB
  • 08 Matplotlib Plotting and Data Visualization/075 Section Overview.en.srt 2.8 kB
  • 03 Machine Learning and Data Science Framework/025 Overfitting and Underfitting Definitions.html 2.7 kB
  • 17 Learn Python/269 Learning Python.en.srt 2.6 kB
  • 20 Where To Go From Here/362 Become An Alumni.html 2.6 kB
  • 16 Career Advice Extra Bits/254 JTS Learn to Learn.en.srt 2.6 kB
  • 21 Extras/364 Bonus Special Thank You Gift.html 2.5 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/176 Challenge Whats wrong with splitting data after filling it.html 2.4 kB
  • 02 Machine Learning 101/013 Section Review.en.srt 2.4 kB
  • 08 Matplotlib Plotting and Data Visualization/082 Quick Tip Data Visualizations.en.srt 2.4 kB
  • 13 Data Engineering/195 Apache Spark and Apache Flink.en.srt 2.4 kB
  • 16 Career Advice Extra Bits/262 Exercise Contribute To Open Source.html 2.3 kB
  • 17 Learn Python/301 None.en.srt 2.2 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/204 Setting Up Our Data 2.en.srt 2.2 kB
  • 05 Data Science Environment Setup/031 Section Overview.en.srt 2.2 kB
  • 07 NumPy/059 Quick Note Correction In Next Video.html 2.2 kB
  • 18 Learn Python Part 2/354 Python Exam Testing Your Understanding.html 2.0 kB
  • 06 Pandas Data Analysis/048 Data from URLs.html 2.0 kB
  • 09 Scikit-learn Creating Machine Learning Models/112 Quick Tip How ML Algorithms Work.en.srt 2.0 kB
  • 05 Data Science Environment Setup/039 Linux Environment Setup.html 1.9 kB
  • 07 NumPy/074 Optional Extra NumPy resources.html 1.9 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/164 Section Overview.en.srt 1.9 kB
  • 09 Scikit-learn Creating Machine Learning Models/099 Quick Note Upcoming Videos.html 1.9 kB
  • 06 Pandas Data Analysis/045 Downloading Workbooks and Assignments.html 1.8 kB
  • 03 Machine Learning and Data Science Framework/028 Optional Elements of AI.html 1.8 kB
  • 18 Learn Python Part 2/360 Next Steps.html 1.8 kB
  • 16 Career Advice Extra Bits/261 Coding Challenges.html 1.8 kB
  • 17 Learn Python/279 Expressions vs Statements.en.srt 1.8 kB
  • 17 Learn Python/external-assets-links.txt 1.7 kB
  • 04 The 2 Paths/030 Python Machine Learning Monthly.html 1.6 kB
  • 10 Supervised Learning Classification Regression/142 Milestone Projects.html 1.6 kB
  • 19 Bonus Learn Advanced Statistics and Mathematics for FREE/361 Statistics and Mathematics.html 1.6 kB
  • 17 Learn Python/276 Exercise Operator Precedence.html 1.6 kB
  • 08 Matplotlib Plotting and Data Visualization/084 Quick Note Regular Expressions.html 1.5 kB
  • 16 Career Advice Extra Bits/250 Quick Note Upcoming Video.html 1.5 kB
  • 17 Learn Python/282 String Concatenation.en.srt 1.5 kB
  • 16 Career Advice Extra Bits/253 Quick Note Upcoming Videos.html 1.4 kB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/199 Setting Up With Google.html 1.4 kB
  • 09 Scikit-learn Creating Machine Learning Models/external-assets-links.txt 1.4 kB
  • 13 Data Engineering/191 Quick Note Upcoming Video.html 1.3 kB
  • 18 Learn Python Part 2/356 Quick Note Upcoming Videos.html 1.3 kB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/external-assets-links.txt 1.3 kB
  • 13 Data Engineering/193 Optional Learn SQL.html 1.3 kB
  • 18 Learn Python Part 2/335 Exercise Tesla.html 1.3 kB
  • 09 Scikit-learn Creating Machine Learning Models/097 Quick Note Upcoming Video.html 1.3 kB
  • 06 Pandas Data Analysis/external-assets-links.txt 1.2 kB
  • 16 Career Advice Extra Bits/256 Quick Note Upcoming Videos.html 1.2 kB
  • 07 NumPy/external-assets-links.txt 1.2 kB
  • 16 Career Advice Extra Bits/252 Learning Guideline.html 1.2 kB
  • 17 Learn Python/271 How To Succeed.html 1.1 kB
  • 09 Scikit-learn Creating Machine Learning Models/111 Quick Note Decision Trees.html 1.1 kB
  • 02 Machine Learning 101/011 Are You Getting It Yet.html 1.0 kB
  • 11 Milestone Project 1 Supervised Learning (Classification)/external-assets-links.txt 1.0 kB
  • 05 Data Science Environment Setup/external-assets-links.txt 949 Bytes
  • 18 Learn Python Part 2/external-assets-links.txt 615 Bytes
  • 08 Matplotlib Plotting and Data Visualization/external-assets-links.txt 476 Bytes
  • 15 Storytelling Communication How To Present Your Work/external-assets-links.txt 384 Bytes
  • 06 Pandas Data Analysis/050 car-sales.csv 369 Bytes
  • 06 Pandas Data Analysis/052 car-sales-missing-data.csv 287 Bytes
  • 13 Data Engineering/external-assets-links.txt 220 Bytes
  • 03 Machine Learning and Data Science Framework/external-assets-links.txt 155 Bytes
  • 02 Machine Learning 101/external-assets-links.txt 125 Bytes
  • 0. Websites you may like/[FreeCourseWorld.Com].url 54 Bytes
  • [FreeCourseWorld.Com].url 54 Bytes
  • 0. Websites you may like/[DesireCourse.Net].url 51 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • 0. Websites you may like/[CourseClub.Me].url 48 Bytes
  • [CourseClub.Me].url 48 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>