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[GigaCourse.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:2022-01-09 大小:7.9 GB 最近下载:2025-11-03 热度:3513

[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

[Tutorialsplanet.NET] 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:2022-04-10 大小:7.9 GB 最近下载:2025-10-05 热度:295

[Udemy] Python for Data Science & Machine Learning from A-Z (01.2021)

  • 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:2022-01-10 大小:7.9 GB 最近下载:2025-10-30 热度:3400

[GigaCourse.Com] Udemy - Machine Learning, Data Science and Generative AI with Python

  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
  • 14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 193.4 MB
  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 179.0 MB
  • 11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
  • 08 - Apache Spark Machine Learning on Big Data/003 [Activity] Installing Spark.mp4 148.2 MB
  • 08 - Apache Spark Machine Learning on Big Data/007 Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
  • 06 - More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4 131.3 MB
  • 05 - Recommender Systems/005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
  • 10 - Deep Learning and Neural Networks/017 The Ethics of Deep Learning.mp4 126.4 MB
  • 08 - Apache Spark Machine Learning on Big Data/008 [Activity] K-Means Clustering in Spark.mp4 121.8 MB
  • 10 - Deep Learning and Neural Networks/014 [Activity] Transfer Learning.mp4 116.4 MB
  • 10 - Deep Learning and Neural Networks/006 [Activity] Using Tensorflow, Part 1.mp4 112.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/004 [Activity] Variation and Standard Deviation.mp4 108.4 MB
  • 01 - Getting Started/005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
  • 01 - Getting Started/006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 100.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/009 [Activity] Advanced Visualization with Seaborn.mp4 100.8 MB
  • 10 - Deep Learning and Neural Networks/007 [Activity] Using Tensorflow, Part 2.mp4 99.7 MB
  • 03 - Predictive Models/003 [Activity] Multiple Regression, and Predicting Car Prices.mp4 98.7 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/011 [Exercise] Conditional Probability.mp4 98.5 MB
[磁力链接] 添加时间:2024-05-08 大小:7.7 GB 最近下载:2025-11-02 热度:13843

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 01 Welcome to the course/001 Applications of Machine Learning-en.srt 5.4 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-es.srt 5.7 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-it.srt 5.8 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-ja.srt 6.7 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-pt.srt 5.9 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-tr.srt 5.6 kB
  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-en.srt 9.5 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-es.srt 9.9 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-it.srt 9.9 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-ja.srt 11.0 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-pt.srt 10.0 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-tr.srt 9.5 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Important notes tips tricks for this course.html 4.3 kB
  • 01 Welcome to the course/004 Machine-Learning-A-Z-Q-A.pdf 2.4 MB
  • 01 Welcome to the course/004 This PDF resource will help you a lot.html 2.4 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-en.srt 12.1 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-es.srt 12.5 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-it.srt 12.3 kB
[磁力链接] 添加时间:2018-10-24 大小:7.3 GB 最近下载:2025-05-23 热度:153

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-10-27 热度:943

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2025-10-30 热度:638

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

  • 6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • 5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • 6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • 6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • 2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • 2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • 3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • 5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • 3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • 2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • 7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • 5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • 2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • 8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-02-15 热度:102

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
  • 01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
  • 01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
  • 03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
  • 04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
  • 04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
  • 04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
  • 04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB
[磁力链接] 添加时间:2018-03-03 大小:7.2 GB 最近下载:2025-11-01 热度:1983

Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio

  • Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio.rar 7.2 GB
[磁力链接] 添加时间:2021-03-15 大小:7.2 GB 最近下载:2025-10-16 热度:554

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-09 大小:6.9 GB 最近下载:2025-10-22 热度:812

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-10 大小:6.9 GB 最近下载:2025-10-27 热度:1007

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-10-27 热度:3025

Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-07 大小:6.8 GB 最近下载:2025-02-28 热度:149

[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-11-02 热度:1157

[DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • [DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-11-08 大小:6.7 GB 最近下载:2025-11-03 热度:1511

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.srt 49.5 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2025-10-04 热度:59

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-11-03 热度:763


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