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[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python

  • 23. Python Basics/7. Data Types Lists (Part 2).mp4 140.9 MB
  • 11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 136.0 MB
  • 17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 135.0 MB
  • 23. Python Basics/18. Visualization with Matplotlib.mp4 130.3 MB
  • 19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.2 MB
  • 8. Visualization with Matplotlib/3. Customization of Plots.mp4 108.0 MB
  • 14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 104.3 MB
  • 12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 100.0 MB
  • 25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 97.9 MB
  • 10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 95.4 MB
  • 11. Cleaning Data/5. Detection of missing Values.mp4 93.7 MB
  • 11. Cleaning Data/10. Handling Removing Duplicates.srt 93.0 MB
  • 11. Cleaning Data/10. Handling Removing Duplicates.mp4 93.0 MB
  • 12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 92.3 MB
  • 1. Getting Started/5. Installation of Anaconda.mp4 90.5 MB
  • 23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 90.2 MB
  • 19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
  • 11. Cleaning Data/6. Removing missing values.mp4 89.6 MB
  • 15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 89.5 MB
  • 16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4 89.3 MB
[磁力链接] 添加时间:2021-04-10 大小:12.0 GB 最近下载:2025-09-22 热度:1609

[Tutorialsplanet.NET] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.3 MB
  • 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
  • 3/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 2/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
  • 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
  • 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
  • 35/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2021-03-13 大小:16.4 GB 最近下载:2025-09-07 热度:1606

GetFreeCourses.Co-Udemy-Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • 1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • 14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • 14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • 14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
[磁力链接] 添加时间:2022-01-10 大小:2.1 GB 最近下载:2025-09-22 热度:1581

GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2022-02-15 大小:18.4 GB 最近下载:2025-09-05 热度:1581

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2021-03-14 大小:18.4 GB 最近下载:2025-08-21 热度:1568

[FreeCourseSite.com] Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/101 - Day 6 SequencetoSequence Models and Applications.mp4 678.3 MB
  • 6 - Week 5 Introduction to Machine Learning/50 - Day 3 Advanced Regression Models Polynomial Regression and Regularization.mp4 516.8 MB
  • 2 - Week 1 Python Programming Basics/22 - Day 7 Pythonic Code and Project Work.mp4 505.3 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/94 - Day 7 CNN Project Image Classification on Fashion MNIST or CIFAR10.mp4 430.2 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/85 - Day 6 Building Neural Networks with PyTorch.mp4 409.5 MB
  • 9 - Week 8 Model Tuning and Optimization/74 - Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 407.4 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/96 - Day 1 Introduction to Sequence Modeling and RNNs.mp4 395.6 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/46 - Day 7 Statistical Analysis Project Analyzing RealWorld Data.mp4 350.9 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/88 - Day 1 Introduction to Convolutional Neural Networks.mp4 345.3 MB
  • 3 - Week 2 Data Science Essentials/29 - Day 6 Data Visualization with Matplotlib and Seaborn.mp4 331.8 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/97 - Day 2 Understanding RNN Architecture and Backpropagation Through Time BPTT.mp4 313.3 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/83 - Day 4 Gradient Descent and Optimization Techniques.mp4 303.5 MB
  • 4 - Week 3 Mathematics for Machine Learning/36 - Day 5 Probability Theory and Distributions.mp4 296.2 MB
  • 9 - Week 8 Model Tuning and Optimization/77 - Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 287.9 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/106 - Day 3 SelfAttention and MultiHead Attention in Transformers.mp4 284.1 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/109 - Day 6 Advanced Transformers BERT Variants and GPT3.mp4 282.3 MB
  • 14 - Week 13 Transfer Learning and FineTuning/113 - Day 2 Transfer Learning in Computer Vision.mp4 278.7 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/108 - Day 5 HandsOn with PreTrained Transformers BERT and GPT.mp4 276.4 MB
  • 3 - Week 2 Data Science Essentials/30 - Day 7 Exploratory Data Analysis EDA Project.mp4 274.3 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/68 - Day 5 LightGBM and CatBoost.mp4 271.3 MB
[磁力链接] 添加时间:2025-02-22 大小:25.4 GB 最近下载:2025-09-21 热度:1559

365 Data Science - The Python Programmer Bootcamp [CoursesGhar]

  • 1. Course introduction/2. Why code and why Python.mp4 731.6 MB
  • 10. General tips/1. General tips.mp4 522.8 MB
  • 5. Conditionals/5. More on strings.mp4 285.8 MB
  • 2. Setting up the environment/2. Introducing Spyder.mp4 285.0 MB
  • 3. Python basics + Hands-on coding/1. PRINT function.mp4 279.5 MB
  • 11. Big O/1. Big_O.mp4 263.2 MB
  • 5. Conditionals/1. Intro to conditionals.mp4 260.2 MB
  • 2. Setting up the environment/1. Installing Anaconda.mp4 236.7 MB
  • 5. Conditionals/6. More strings!.mp4 233.7 MB
  • 1. Course introduction/1. What does the course cover.mp4 230.4 MB
  • 5. Conditionals/4. IF statement.mp4 220.4 MB
  • 7. Dictionaries/7. Import counters (1_2).mp4 219.4 MB
  • 14. Advanced Python_ Stacks/1. Intro to stacks.mp4 209.8 MB
  • 15. Search and sort/4. Insertion sort.mp4 194.5 MB
  • 21. Farewell/1. Farewell.mp4 194.1 MB
  • 14. Advanced Python_ Stacks/3. Practical challenge - stacks.mp4 140.0 MB
  • 15. Search and sort/3. Binary search.mp4 137.8 MB
  • 6. For loops/4. The power of lists and loops and working together.mp4 137.1 MB
  • 12. Advanced Python_ Caesar two sum/2. Caesar cipher.mp4 127.4 MB
  • 5. Conditionals/7. Practice challenge.mp4 124.3 MB
[磁力链接] 添加时间:2022-01-09 大小:8.8 GB 最近下载:2025-09-16 热度:1553

Complete 2020 Data Science & Machine Learning Bootcamp

  • Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-16 大小:18.1 GB 最近下载:2025-09-20 热度:1523

[FreeCourseLab.com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 1. Course Introduction/1. Introduction to the Course.mp4 30.4 MB
  • 1. Course Introduction/1. Introduction to the Course.vtt 5.5 kB
  • 1. Course Introduction/2. Course Help and Welcome.mp4 8.6 MB
  • 1. Course Introduction/2. Course Help and Welcome.vtt 1.1 kB
  • 1. Course Introduction/3. Course FAQs.html 5.5 kB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.1 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 32.9 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.vtt 19.0 kB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 5.4 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.vtt 2.1 kB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 30.0 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.vtt 12.2 kB
  • 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 13.1 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.vtt 5.1 kB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.vtt 25.3 kB
  • 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2.0 MB
  • 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.vtt 1.3 kB
  • 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 48.4 MB
  • 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.vtt 24.0 kB
[磁力链接] 添加时间:2018-12-04 大小:3.9 GB 最近下载:2025-09-20 热度:1492

[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-03-09 大小:2.6 GB 最近下载:2025-09-07 热度:1488

The Data Science Course 2020 - Complete Data Science Bootcamp

  • The Data Science Course 2020 - Complete Data Science Bootcamp/16 Statistics - Practical Example Descriptive Statistics/093 Practical Example Descriptive Statistics.mp4 168.2 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/12 Probability - Distributions/066 A Practical Example of Probability Distributions.mp4 165.5 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/11 Probability - Bayesian Inference/051 A Practical Example of Bayesian Inference.mp4 152.2 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/40 Part 6 Mathematics/283 Why is Linear Algebra Useful.mp4 151.3 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/011 Techniques for Working with Traditional Data.mp4 145.0 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/10 Probability - Combinatorics/039 A Practical Example of Combinatorics.mp4 140.8 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/03 The Field of Data Science - Connecting the Data Science Disciplines/009 Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 133.0 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/020 Types of Machine Learning.mp4 131.2 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/56 Software Integration/406 Taking a Closer Look at APIs.mp4 121.2 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/017 Techniques for Working with Traditional Methods.mp4 117.1 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/02 The Field of Data Science - The Various Data Science Disciplines/007 Continuing with BI ML and AI.mp4 114.3 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/56 Software Integration/405 What are Data Connectivity APIs and Endpoints.mp4 109.1 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/06 The Field of Data Science - Popular Data Science Tools/022 Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/55 Appendix Deep Learning - TensorFlow 1 Business Case/395 Business Case Preprocessing.mp4 108.4 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/19 Statistics - Practical Example Inferential Statistics/118 Practical Example Inferential Statistics.mp4 107.6 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/019 Machine Learning (ML) Techniques.mp4 104.1 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/13 Probability - Probability in Other Fields/067 Probability in Finance.mp4 103.9 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/35 Advanced Statistical Methods - Practical Example Linear Regression/226 Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/20 Statistics - Hypothesis Testing/120 Null vs Alternative Hypothesis.mp4 96.5 MB
  • The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/015 Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2022-01-31 大小:16.4 GB 最近下载:2025-09-22 热度:1405

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

  • 09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
  • 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
  • 09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
  • 16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
  • 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
  • 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
  • 11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB
[磁力链接] 添加时间:2024-02-25 大小:17.8 GB 最近下载:2025-09-20 热度:1372

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-09-22 热度:1370

[GigaCourse.Com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2022-02-26 大小:18.4 GB 最近下载:2025-08-09 热度:1333

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-04-27 大小:20.6 GB 最近下载:2025-09-18 热度:1306

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-04-02 大小:6.0 GB 最近下载:2025-09-08 热度:1280

[ FreeCourseWeb.com ] Udemy - KNIME Analytics Bootcamp - ETL Tools for Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - KNIME Analytics Bootcamp - ETL Tools for Data Science.zip 1.5 GB
[磁力链接] 添加时间:2021-04-29 大小:1.5 GB 最近下载:2025-09-06 热度:1271

[FreeCourseSite.com] Udemy - The Data Science Course 2021 Complete Data Science Bootcamp

  • 12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4 145.0 MB
  • 11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4 131.6 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4 110.6 MB
  • 40 - Part 6_ Mathematics/011 Why is Linear Algebra Useful_.mp4 90.4 MB
  • 35 - Advanced Statistical Methods - Practical Example_ Linear Regression/001 Practical Example_ Linear Regression (Part 1).mp4 89.0 MB
  • 20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4 84.8 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4 78.4 MB
  • 55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing.mp4 78.0 MB
  • 51 - Deep Learning - Business Case Example/004 Business Case_ Preprocessing the Data.mp4 77.4 MB
  • 56 - Software Integration/003 Taking a Closer Look at APIs.mp4 68.5 MB
  • 58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4 66.9 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4 64.8 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4 63.4 MB
  • 55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/001 Business Case_ Getting Acquainted with the Dataset.mp4 63.2 MB
  • 56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints_.mp4 61.7 MB
  • 55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/006 Creating a Data Provider.mp4 59.0 MB
  • 02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords_ Why are there so Many_.mp4 57.4 MB
  • 58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set.mp4 56.9 MB
  • 18 - Statistics - Inferential Statistics_ Confidence Intervals/002 Confidence Intervals; Population Variance Known; Z-score.mp4 54.7 MB
  • 51 - Deep Learning - Business Case Example/001 Business Case_ Exploring the Dataset and Identifying Predictors.mp4 53.9 MB
[磁力链接] 添加时间:2022-01-11 大小:8.4 GB 最近下载:2025-08-27 热度:1253

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2021-04-04 大小:18.4 GB 最近下载:2025-07-27 热度:1179

[ FreeCourseWeb.com ] Udemy - 250 + Exercises - Data Science Bootcamp in Python.zip

  • [ FreeCourseWeb.com ] Udemy - 250 + Exercises - Data Science Bootcamp in Python.zip 210.9 MB
[磁力链接] 添加时间:2021-06-09 大小:210.9 MB 最近下载:2025-09-22 热度:1109


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