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[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2022-04-21 大小:14.1 GB 最近下载:2025-05-15 热度:464

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2025-02-19 大小:14.1 GB 最近下载:2025-10-03 热度:68

[FreeCourseLab.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2024-01-27 大小:14.1 GB 最近下载:2025-10-25 热度:1301

Machine Learning & Deep Learning in Python & R

  • 27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2024-01-30 大小:14.1 GB 最近下载:2025-10-24 热度:1660

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2021-03-19 大小:14.1 GB 最近下载:2025-06-28 热度:366

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2021-03-23 大小:14.1 GB 最近下载:2025-06-16 热度:505

Diploma in Python with Data Science and Machine Learning

  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2022-02-02 大小:13.9 GB 最近下载:2025-10-27 热度:8805

[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning

  • 12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • 12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • 12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • 12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • 12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • 12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • 15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • 17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • 16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • 17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • 13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • 17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • 13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • 14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-10-25 热度:1293

Diploma in Python with Data Science and Machine Learning

  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2024-12-15 大小:13.8 GB 最近下载:2025-10-22 热度:127

Udemy - 50 Days of Learning 50 Pro Level Python Concepts (8.2025)

  • 46 - Day # 45, 46, 47 - Python Basics = Variables, Functions, Data Structures/1 -Crash Course Part - 1.mp4 1.5 GB
  • 7 - Day # 6 - AndroidiOS App Development with Kivy/1 -AndroidiOS Development using Kivy.mp4 1.3 GB
  • 47 - Day # 48, 49, 50 - Python Basics = More on Object Oriented Programming Basic/1 -Crash Course Part - 2.mp4 885.9 MB
  • 30 - Day # 29 - Seaborn Module in Python/2 -Scatter, Bar and Box Plot in Seaborn.mp4 228.7 MB
  • 9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/13 -Object Detection Using OpenCV.mp4 191.4 MB
  • 2 - Day # 1 - Cyber Security - Hashing in Python/3 -Implementing Different Advance Hashing Algorithms.mp4 170.7 MB
  • 28 - Day # 27 - Downloading Video Content from YouTube/2 -Downloading Audio From Video.mp4 162.3 MB
  • 9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/6 -Geometric Shapes on Images.mp4 161.7 MB
  • 28 - Day # 27 - Downloading Video Content from YouTube/3 -Downloading Video in Different Format.mp4 160.5 MB
  • 14 - Day # 13 - Multi-Tasking in Python - Thread Programming/2 -Creating Naming and Joining Single and Multi Threads.mp4 153.5 MB
  • 33 - Day # 32 - Emoji Module in Python/1 -Making Text Emojified.mp4 146.2 MB
  • 38 - Day # 37 - File Handling in Python/1 -Reading Writing into Files in Different Modes.mp4 138.7 MB
  • 4 - Day # 3 - Turtle Module in Python - GUI Creation/2 -Drawing Colorful Things with Turtle.mp4 129.8 MB
  • 18 - Day # 17 - Classes and Objects in Python/3 -Different Examples.mp4 123.9 MB
  • 9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/11 -Implementing Mouse Events in OpenCV.mp4 121.7 MB
  • 32 - Day # 31 - Geographical Module in Python/2 -Longitude Latitude and Distance between Locations.mp4 120.5 MB
  • 19 - Day # 18 - Encapsulation in Python/2 -Protected Attributes.mp4 119.8 MB
  • 18 - Day # 17 - Classes and Objects in Python/1 -Creation Part.mp4 119.6 MB
  • 9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/7 -Capturing Live Video Using OpenCV.mp4 116.8 MB
  • 44 - Day # 43 - Math Module in Python/1 -Making Complex Math Easy with Math Module - 1.mp4 115.0 MB
[磁力链接] 添加时间:2025-10-23 大小:13.8 GB 最近下载:2025-10-26 热度:6

GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
  • 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 71.7 MB
[磁力链接] 添加时间:2023-12-18 大小:13.8 GB 最近下载:2025-10-26 热度:6729

[Tutorialsplanet.NET] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
  • 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 71.7 MB
[磁力链接] 添加时间:2024-05-11 大小:13.8 GB 最近下载:2025-10-26 热度:439

2023 Python for Machine Learning A Step-by-Step Guide

  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/1. Introduction/1.1 python-for-ml-and-ds-projects.zip 286.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/14. Feature Selection - Recursive Feature Elimination.mp4 147.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/11. Decision Boundary Visualization.mp4 146.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/12. Putting Everything Together.mp4 122.9 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/11. Support Vector Machine/6. Cancer Data Visualization Part 2.mp4 120.1 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/21. Introduction to Deep Learning/12. Data Visualization Part 2.mp4 112.5 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/20. PCA/7. Data Reconstruction.mp4 109.9 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/1. Introduction/5. Jupyter Notebook Introduction and Keyboard Shortcuts.mp4 108.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/8. Missing Age Imputation Part 2.mp4 94.8 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/16. Boosting Algorithms/2. Heart-Disease Dataset Understanding.mp4 88.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/8. Data Visualization with Plotly/4. Stacked Bar Plot.mp4 85.6 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/7. Data Visualization in Pandas/11. Pie Chart.mp4 85.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/9. Linear Regression/10. Exploratory Data Analysis- Pair Plot.mp4 85.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/12. Cross Validation and Hyperparameter Tuning/11. Grid Search Hypyerparameter Tuning.mp4 84.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/21. Introduction to Deep Learning/5. What is Back Propagation.mp4 83.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/8. Data Visualization with Plotly/7. Hist Plot, Bubble Plot and Heatmap.mp4 82.5 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/7. Data Visualization in Pandas/7. Histogram.mp4 82.2 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/18. ROC Curve and AUC Part 1.mp4 82.1 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/10. Clusters Visualization.mp4 82.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/16. Boosting Algorithms/10. CatBoost Hyperparameter Optimization.mp4 80.5 MB
[磁力链接] 添加时间:2024-01-16 大小:13.7 GB 最近下载:2025-10-23 热度:2347

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

  • 26. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 36. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 17. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 25. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 25. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 22. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 26. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 26. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 33. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 24. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 37. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 36. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 26. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 36. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 22. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
  • 34. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2023-12-26 大小:13.5 GB 最近下载:2025-10-27 热度:4148

Udemy - Machine Learning & Deep Learning in Python & R (11.2021)

  • 27 - ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 - Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 - Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 - ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 - ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 - Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 - ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 - ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 - Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 - Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 - Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 - Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 - Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 - ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 - Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 - Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 - Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 - Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 - Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 - Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2025-05-22 大小:13.5 GB 最近下载:2025-10-27 热度:602

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

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-10-26 热度:3425

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]

  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part1.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part2.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part3.rar 78.6 MB
[磁力链接] 添加时间:2023-12-21 大小:13.0 GB 最近下载:2025-10-27 热度:5455

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2025-09-11 热度:772

[FreeCourseSite.com] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 30 - A Machine Learning-powered Strategy A-Z (DNN)/013 Implementation (Oanda & FXCM).mp4 104.0 MB
  • 32 - Adding Stop Loss and Take Profit to the Trading Bot/014 IBKR How to create Stop Loss and Take Profit Orders.mp4 94.1 MB
  • 08 - API Trading with Python and Online Brokers- an Introduction/019 IBKR Creating Orders (Stock Trading).mp4 90.8 MB
  • 23 - Implementation and Automation with OANDA (UPDATED!)/017 Trade Monitoring and Reporting.mp4 85.6 MB
  • 03 - Day Trading with OANDA A-Z a Deep Dive/001 OANDA at a first glance.mp4 85.5 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp4 82.3 MB
  • 14 - Object Oriented Programming (OOP) Creating a Financial Analysis Class/012 Inheritance.mp4 79.9 MB
  • 24 - Implementation and Automation with IBKR/010 Trade Monitoring and Reporting.mp4 79.6 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp4 78.0 MB
  • 06 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp4 77.2 MB
  • 32 - Adding Stop Loss and Take Profit to the Trading Bot/011 Oanda Adding Stop Loss & Take Profit.mp4 75.3 MB
  • 20 - Trading Strategies powered by Machine Learning - Classification/007 Generalization with OOP A Classification Backtesting Class in action.mp4 72.7 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp4 72.5 MB
  • 07 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp4 71.5 MB
  • 04 - Stocks and FOREX Trading with Interactive Brokers (IBKR)/008 Trading Costs (Stocks) - Commissions.mp4 70.8 MB
  • 03 - Day Trading with OANDA A-Z a Deep Dive/008 Margin and Leverage.mp4 70.7 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp4 70.7 MB
  • 36 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Customization of Plots.mp4 69.1 MB
  • 23 - Implementation and Automation with OANDA (UPDATED!)/004 Historical Data, real-time Data and Orders (Recap).mp4 66.5 MB
  • 08 - API Trading with Python and Online Brokers- an Introduction/017 IBKR Contracts (advanced).mp4 65.0 MB
[磁力链接] 添加时间:2023-12-17 大小:12.7 GB 最近下载:2025-10-27 热度:9778

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

  • Machine Learning A-Z Hands-On Python & R In Data Science/01 Welcome to the course/006 Machine-Learning-A-Z-New.zip 239.5 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/028 Splitting the dataset into the Training set and Test set.mp4 90.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/029 Feature Scaling.mp4 82.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/019 Encoding Categorical Data.mp4 81.0 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/016 Importing the Dataset.mp4 66.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/018 Taking care of Missing Data.mp4 64.0 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/021 Splitting the dataset into the Training set and Test set.mp4 61.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/027 Encoding Categorical Data.mp4 60.1 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/36 Kernel PCA/284 Kernel PCA in R.mp4 59.3 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/39 Kernel PCA/265 Kernel PCA in R.mp4 59.3 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/39 XGBoost/296 THANK YOU bonus video.mp4 54.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/42 XGBoost/275 THANK YOU bonus video.mp4 54.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/12 Logistic Regression/104 Logistic Regression in R - Step 5.mp4 54.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/15 Logistic Regression/101 Logistic Regression in R - Step 5.mp4 54.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/35 Linear Discriminant Analysis (LDA)/281 LDA in R.mp4 53.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/38 Linear Discriminant Analysis (LDA)/263 LDA in R.mp4 53.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/17 Decision Tree Classification/131 Decision Tree Classification in R.mp4 53.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/20 Decision Tree Classification/125 Decision Tree Classification in R.mp4 53.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/030 Data Preprocessing Template.mp4 53.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/18 Random Forest Classification/135 Random Forest Classification in R.mp4 51.8 MB
[磁力链接] 添加时间:2021-06-03 大小:12.6 GB 最近下载:2025-10-22 热度:2184


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