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[ DevCourseWeb.com ] Linkedin Learning - Python Projects (2021)

  • ~Get Your Files Here !/[3] 2. Retrieving Content/[2] Weather forecast using OpenWeatherMap.mp4 28.8 MB
  • ~Get Your Files Here !/[4] 3. Emailing the Digest/[1] Format an email message.mp4 27.9 MB
  • ~Get Your Files Here !/[5] 4. Building the GUI/[2] Explore a Python Tkinter GUI.mp4 26.9 MB
  • ~Get Your Files Here !/[3] 2. Retrieving Content/[3] Trending Twitter topics.mp4 23.5 MB
  • ~Get Your Files Here !/[4] 3. Emailing the Digest/[3] Schedule a task.mp4 19.8 MB
  • ~Get Your Files Here !/[4] 3. Emailing the Digest/[2] Send an email.mp4 19.8 MB
  • ~Get Your Files Here !/[3] 2. Retrieving Content/[1] Daily inspirational quotes.mp4 17.8 MB
  • ~Get Your Files Here !/[3] 2. Retrieving Content/[4] Random Wikipedia articles.mp4 14.7 MB
  • ~Get Your Files Here !/[6] 5. Iterating on the Design/[2] Save configuration settings.mp4 13.1 MB
  • ~Get Your Files Here !/[5] 4. Building the GUI/[1] Plan the GUI.mp4 12.7 MB
  • ~Get Your Files Here !/[2] 1. Planning the Project/[3] Requirements.mp4 12.4 MB
  • ~Get Your Files Here !/[2] 1. Planning the Project/[4] Program architecture.mp4 12.2 MB
  • ~Get Your Files Here !/[2] 1. Planning the Project/[1] User stories.mp4 10.7 MB
  • ~Get Your Files Here !/[7] 6. Packaging and Distribution/[1] Distribute Python applications.mp4 9.6 MB
  • ~Get Your Files Here !/Ex_Files_Python_Projects/Exercise Files/06_01_installer/end/dist/dd_gui.exe 9.1 MB
  • ~Get Your Files Here !/[2] 1. Planning the Project/[5] Stub code.mp4 8.9 MB
  • ~Get Your Files Here !/Ex_Files_Python_Projects/Exercise Files/06_01_installer/end/build/dd_gui/PKG-00.pkg 8.9 MB
  • ~Get Your Files Here !/[1] Introduction/[3] Finding inspiration.mp4 8.0 MB
  • ~Get Your Files Here !/[6] 5. Iterating on the Design/[1] Iterative improvements.mp4 7.9 MB
  • ~Get Your Files Here !/[2] 1. Planning the Project/[2] Use cases.mp4 5.4 MB
[磁力链接] 添加时间:2022-01-09 大小:313.3 MB 最近下载:2025-10-18 热度:346

[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks with Python

  • 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2024-04-15 大小:4.7 GB 最近下载:2025-10-18 热度:733

[DesireCourse.Net] Udemy - Python required for Data Science and Machine Learning 2020

  • 6. Python Basics V/2. Topic 2.mp4 83.6 MB
  • 8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
  • 6. Python Basics V/1. Topic 1.mp4 63.6 MB
  • 3. Python Basics II/4. Topic 4.mp4 48.7 MB
  • 7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
  • 5. Python Basics IV/1. Topic 1.mp4 34.9 MB
  • 5. Python Basics IV/4. Topic 4.mp4 32.9 MB
  • 3. Python Basics II/3. Topic 3.mp4 28.4 MB
  • 1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
  • 5. Python Basics IV/2. Topic 2.mp4 27.4 MB
  • 3. Python Basics II/2. Topic 2.mp4 26.7 MB
  • 9. Available Machine Learning Tools/2. Topic 2.mp4 23.8 MB
  • 2. Python Basic I/4. Topic 2.mp4 22.3 MB
  • 2. Python Basic I/2. Installation.mp4 21.3 MB
  • 7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
  • 5. Python Basics IV/3. Topic 3.srt 18.0 MB
  • 5. Python Basics IV/3. Topic 3.mp4 18.0 MB
  • 4. Python Basics III/1. Topic 1.mp4 17.0 MB
  • 7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
  • 4. Python Basics III/4. Topic 4.mp4 15.1 MB
[磁力链接] 添加时间:2022-04-25 大小:778.2 MB 最近下载:2025-10-18 热度:1308

[FreeCourseSite.com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-01-20 大小:4.4 GB 最近下载:2025-10-17 热度:1762

[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. 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
  • 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
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 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 3/6. 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/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
  • 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
  • 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB
[磁力链接] 添加时间:2021-04-07 大小:15.2 GB 最近下载:2025-10-17 热度:386

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • 16 Projects/002 Project - 2.mp4 177.5 MB
  • 11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • 16 Projects/001 Project - 1.mp4 106.5 MB
  • 09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • 11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • 16 Projects/003 Project - 3.mp4 86.3 MB
  • 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • 12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • 05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • 10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • 05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • 13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-04-08 大小:4.9 GB 最近下载:2025-10-17 热度:2359

GetFreeCourses.Co-Udemy-Machine Learning, Data Science and Deep Learning with Python

  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
  • 10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB
[磁力链接] 添加时间:2021-04-10 大小:8.5 GB 最近下载:2025-10-16 热度:1332

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2021-05-06 大小:6.1 GB 最近下载:2025-10-16 热度:672

[FreeTutorials.Us] bayesian-machine-learning-in-python-ab-testing

  • 01 Introduction and Outline/001 Whats this course all about.mp4 3.9 MB
  • 01 Introduction and Outline/002 Where to get the code for this course.mp4 2.1 MB
  • 01 Introduction and Outline/003 How to succeed in this course.mp4 5.8 MB
  • 02 Bayes Rule and Probability Review/004 Bayes Rule Review.mp4 15.4 MB
  • 02 Bayes Rule and Probability Review/005 Simple Probability Problem.mp4 3.4 MB
  • 02 Bayes Rule and Probability Review/006 The Monty Hall Problem.mp4 6.3 MB
  • 02 Bayes Rule and Probability Review/007 Imbalanced Classes.mp4 7.5 MB
  • 02 Bayes Rule and Probability Review/008 Maximum Likelihood - Mean of a Gaussian.mp4 8.0 MB
  • 02 Bayes Rule and Probability Review/009 Maximum Likelihood - Click-Through Rate.mp4 7.1 MB
  • 02 Bayes Rule and Probability Review/010 Confidence Intervals.mp4 16.6 MB
  • 02 Bayes Rule and Probability Review/011 What is the Bayesian Paradigm.mp4 10.4 MB
  • 03 Traditional AB Testing/012 AB Testing Problem Setup.mp4 7.3 MB
  • 03 Traditional AB Testing/013 Simple AB Testing Recipe.mp4 8.2 MB
  • 03 Traditional AB Testing/014 P-Values.mp4 6.5 MB
  • 03 Traditional AB Testing/015 Test Characteristics Assumptions and Modifications.mp4 11.0 MB
  • 03 Traditional AB Testing/016 t-test in Code.mp4 6.2 MB
  • 03 Traditional AB Testing/017 0.01 vs 0.011 - Why should we care.mp4 2.9 MB
  • 03 Traditional AB Testing/018 AB Test for Click-Through Rates Chi-Square Test.mp4 9.9 MB
  • 03 Traditional AB Testing/019 CTR AB Test in Code.mp4 17.9 MB
  • 03 Traditional AB Testing/020 ABCD... Testing - The Bonferroni Correction.mp4 3.8 MB
[磁力链接] 添加时间:2017-08-19 大小:376.8 MB 最近下载:2025-10-16 热度:1017

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18 - Recurrent Neural Networks/009 Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
  • 03 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
  • 16 - Feedforward Artificial Neural Networks/013 CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 09 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
  • 07 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
  • 03 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
  • 06 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16 - Feedforward Artificial Neural Networks/004 Activation Functions.mp4 93.7 MB
  • 17 - Convolutional Neural Networks/006 CNN Architecture.mp4 93.6 MB
  • 11 - Text Summarization/008 TextRank in Python (Advanced).mp4 86.3 MB
  • 18 - Recurrent Neural Networks/006 GRU and LSTM (pt 1).mp4 86.2 MB
  • 13 - Latent Semantic Analysis (Latent Semantic Indexing)/002 SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15 - The Neuron/004 Text Classification in Tensorflow.mp4 85.6 MB
  • 17 - Convolutional Neural Networks/002 What is Convolution.mp4 83.7 MB
  • 03 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21 - Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11 - Text Summarization/004 Text Summarization in Python.mp4 81.9 MB
  • 06 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17 - Convolutional Neural Networks/005 Convolution on Color Images.mp4 78.8 MB
[磁力链接] 添加时间:2023-12-25 大小:7.1 GB 最近下载:2025-10-16 热度:94

[ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip

  • [ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip 1.0 GB
[磁力链接] 添加时间:2021-05-06 大小:1.0 GB 最近下载:2025-10-15 热度:613

Learning Python for Data Analysis and Visualization

  • Learning Python for Data Analysis and Visualization/10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/089 Natural Language Processing Part 3.mp4 146.2 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/070 Data Project - Election Analysis Part 4.mp4 129.8 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/090 Natural Language Processing Part 4.mp4 106.8 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/079 Logistic Regression Part 4.mp4 102.7 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/065 Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/088 Natural Language Processing Part 2.mp4 92.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/083 Support Vector Machines - Part 2.mp4 90.0 MB
  • Learning Python for Data Analysis and Visualization/11 Appendix Statistics Overview/099 Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/075 Linear Regression Part 4.mp4 82.5 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/076 Logistic Regression Part 1.mp4 75.3 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/074 Linear Regression Part 3.mp4 72.2 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/080 Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/087 Natural Language Processing Part 1.mp4 68.9 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/085 Naive Bayes Part 2.mp4 68.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/082 Support Vector Machines Part 1.mp4 68.1 MB
  • Learning Python for Data Analysis and Visualization/08 Data Visualization/049 Kernel Density Estimate Plots.mp4 64.9 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/054 Data Projects Preview.mp4 62.4 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/072 Linear Regression Part 1.mp4 61.5 MB
[磁力链接] 添加时间:2022-02-04 大小:4.3 GB 最近下载:2025-10-15 热度:629

Deep Learning Prerequisites Logistic Regression in Python

  • Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2024-03-26 大小:774.8 MB 最近下载:2025-10-15 热度:681

[FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

  • 19. PCA/7. PCA - Image Compression.mp4 262.1 MB
  • 16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • 15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
  • 14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
  • 15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
  • 19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
  • 1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
  • 1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
  • 17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
  • 15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
  • 15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
  • 19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
  • 15. Decision Trees/13. Pruning.mp4 118.5 MB
  • 17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
  • 13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
  • 18. K-means/3. Representing Clusters.mp4 114.9 MB
  • 3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
  • 17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
  • 18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
  • 9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2022-01-13 大小:7.9 GB 最近下载:2025-10-15 热度:1195

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
  • 22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
  • 19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
  • 19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
  • 07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
  • 19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
  • 09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
  • 16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
  • 18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
  • 08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
  • 23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
  • 07 ANNs/009 Learning rates comparison.mp4 176.8 MB
  • 12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
  • 11 FFNs/003 FFN to classify digits.mp4 169.7 MB
  • 16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
  • 07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
  • 12 More on data/007 Data feature augmentation.mp4 166.0 MB
  • 21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
  • 14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
  • 21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB
[磁力链接] 添加时间:2022-01-20 大小:22.7 GB 最近下载:2025-10-15 热度:1058

[FreeTutorials.Us] data-science-deep-learning-in-python

  • 01 What is a neural network/001 Introduction and Outline.mp4 6.4 MB
  • 01 What is a neural network/002 Where does this course fit into your deep learning studies.mp4 8.9 MB
  • 01 What is a neural network/003 Deep Learning Readiness Test.mp4 9.0 MB
  • 01 What is a neural network/004 Neural Networks with No Math.mp4 7.7 MB
  • 01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp4 15.5 MB
  • 02 Classifying more than 2 things at a time/006 Prediction Section Introduction and Outline.mp4 9.4 MB
  • 02 Classifying more than 2 things at a time/007 From Logistic Regression to Neural Networks.mp4 9.0 MB
  • 02 Classifying more than 2 things at a time/008 Interpreting the Weights of a Neural Network.mp4 13.1 MB
  • 02 Classifying more than 2 things at a time/009 Softmax.mp4 4.8 MB
  • 02 Classifying more than 2 things at a time/010 Sigmoid vs. Softmax.mp4 2.5 MB
  • 02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp4 31.8 MB
  • 02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp4 17.5 MB
  • 02 Classifying more than 2 things at a time/013 Where to get the code for this course.mp4 3.1 MB
  • 02 Classifying more than 2 things at a time/014 Softmax in Code.mp4 8.1 MB
  • 02 Classifying more than 2 things at a time/015 Building an entire feedforward neural network in Python.mp4 14.5 MB
  • 02 Classifying more than 2 things at a time/016 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
  • 02 Classifying more than 2 things at a time/017 E-Commerce Course Project Making Predictions.mp4 7.9 MB
  • 02 Classifying more than 2 things at a time/018 Prediction Quizzes.mp4 5.3 MB
  • 02 Classifying more than 2 things at a time/019 Prediction Section Summary.mp4 3.0 MB
  • 03 Training a neural network/020 Training Section Introduction and Outline.mp4 4.6 MB
[磁力链接] 添加时间:2017-08-04 大小:757.1 MB 最近下载:2025-10-15 热度:1041

[Tutorialsplanet.NET] Udemy - Machine Learning in Python with 5 Machine Learning Projects

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-03-08 大小:22.4 GB 最近下载:2025-10-15 热度:60

[ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip

  • [ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip 5.6 GB
[磁力链接] 添加时间:2021-03-16 大小:5.6 GB 最近下载:2025-10-15 热度:2584

[DesireCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
  • 10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.1 MB
  • 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
  • 10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
  • 10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
  • 10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
  • 2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
  • 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
  • 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
  • 10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
  • 10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
  • 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
  • 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
  • 2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
  • 10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
  • 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.3 MB
  • 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
  • 9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
  • 10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
  • 9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB
[磁力链接] 添加时间:2021-04-17 大小:2.1 GB 最近下载:2025-10-13 热度:2026

[ CourseWikia.com ] Deep Learning with Python and Keras - Build a Model For Sentiment Analysis

  • ~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.mp4 15.4 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.mp4 14.9 MB
  • ~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.mp4 13.5 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.mp4 9.5 MB
  • ~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.mp4 9.4 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).mp4 9.4 MB
  • ~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.mp4 9.0 MB
  • ~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.mp4 8.9 MB
  • ~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.mp4 8.1 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.mp4 8.0 MB
  • ~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.mp4 7.8 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.mp4 7.7 MB
  • ~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.mp4 7.6 MB
  • ~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp4 7.6 MB
  • ~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.mp4 7.3 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.mp4 7.3 MB
  • ~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp4 6.9 MB
  • ~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.mp4 6.8 MB
  • ~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.mp4 6.7 MB
  • ~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.mp4 6.5 MB
[磁力链接] 添加时间:2024-09-29 大小:219.7 MB 最近下载:2025-10-13 热度:354


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