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GetFreeCourses.Co-Udemy-The Complete Machine Learning Course with Python

Size
6.8 GB
Seeders
0
Leechers
1
Files
97
Category
Added
11/12/20 at 2:07pm GMT+1
Status
Not verified
Infohash
139dbc3cd99b898f266f50100632559aa986fe91

Description
MM

File list
  • GetFreeCourses.Co-Udemy-The Complete Machine Learning Course with Python
  • 1. Introduction/1. What Does the Course Cover.mp4 54.4 MB
  • 1. Introduction/1. What Does the Course Cover.srt 3.2 KB
  • 1. Introduction/2. How to Succeed in This Course.html 2.2 KB
  • 1. Introduction/3. Project Files and Resources.html 2.1 KB
  • 10. Unsupervised Learning Clustering/1. Clustering.mp4 125.7 MB
  • 10. Unsupervised Learning Clustering/1. Clustering.srt 20.7 KB
  • 10. Unsupervised Learning Clustering/2. k_Means Clustering.mp4 57.7 MB
  • 10. Unsupervised Learning Clustering/2. k_Means Clustering.srt 10.8 KB
  • 11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 143.9 MB
  • 11. Deep Learning/1. Estimating Simple Function with Neural Networks.srt 26.4 KB
  • 11. Deep Learning/2. Neural Network Architecture.mp4 22.4 MB
  • 11. Deep Learning/2. Neural Network Architecture.srt 7.9 KB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.mp4 145 MB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.srt 25.8 KB
  • 11. Deep Learning/4. Binary Classification Problem.mp4 72.1 MB
  • 11. Deep Learning/4. Binary Classification Problem.srt 12.2 KB
  • 11. Deep Learning/5. Natural Language Processing - Binary Classification.mp4 76 MB
  • 11. Deep Learning/5. Natural Language Processing - Binary Classification.srt 12.8 KB
  • 12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.mp4 13.7 MB
  • 12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.srt 2.7 KB
  • 12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.mp4 55 MB
  • 12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.srt 13.8 KB
  • 12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.mp4 18.7 MB
  • 12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.srt 5.8 KB
  • 12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.mp4 37.5 MB
  • 12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.srt 12.1 KB
  • 12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.mp4 70.1 MB
  • 12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.srt 18.2 KB
  • 12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.mp4 27.4 MB
  • 12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.srt 5.7 KB
  • 12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.mp4 20.9 MB
  • 12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.srt 5 KB
  • 12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.mp4 77.2 MB
  • 12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.srt 12.6 KB
  • 12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 155.6 MB
  • 12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.srt 26.2 KB
  • 12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.mp4 40.6 MB
  • 12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.srt 12.7 KB
  • 12. Appendix A1 Foundations of Deep Learning/6. Why Now.mp4 9.1 MB
  • 12. Appendix A1 Foundations of Deep Learning/6. Why Now.srt 3.4 KB
  • 12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.mp4 14.2 MB
  • 12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.srt 5.6 KB
  • 12. Appendix A1 Foundations of Deep Learning/8. Tensors.mp4 16.9 MB
  • 12. Appendix A1 Foundations of Deep Learning/8. Tensors.srt 4.7 KB
  • 12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.mp4 88.8 MB
  • 12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.srt 21 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.mp4 63.6 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.srt 4.6 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 124.9 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.srt 16.7 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 128.5 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.srt 23.8 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.mp4 11.2 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.srt 1.9 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.mp4 79.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.srt 11.6 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.mp4 28.5 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.srt 3.6 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.mp4 97 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.srt 13 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 111.1 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.srt 13.8 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.mp4 35.4 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.srt 6.7 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.mp4 43.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.srt 10 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.mp4 66.2 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.srt 9.4 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 141.9 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.srt 17.4 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.mp4 30 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.srt 7.4 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.mp4 29.1 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.srt 6.9 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.mp4 84.4 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.srt 20.8 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.mp4 32.3 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.srt 7.8 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.mp4 88.1 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.srt 13.9 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/How you can help GetFreeCourses.Co.txt 182 B
  • 2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.mp4 38.4 MB
  • 2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.srt 6.7 KB
  • 2. Getting Started with Anaconda/2. Hello World.mp4 51.2 MB
  • 2. Getting Started with Anaconda/2. Hello World.srt 14 KB
  • 2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.mp4 89.8 MB
  • 2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.srt 16 KB
  • 2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.mp4 64.6 MB
  • 2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.srt 10.8 KB
  • 2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.mp4 55.9 MB
  • 2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.srt 10.8 KB
  • 2. Getting Started with Anaconda/6. Iris Project 4 Visualization.mp4 93.5 MB
  • 2. Getting Started with Anaconda/6. Iris Project 4 Visualization.srt 12.4 KB
  • 3. Regression/1. Scikit-Learn.mp4 48.5 MB
  • 3. Regression/1. Scikit-Learn.srt 11 KB
  • 3. Regression/10. Multiple Regression 2.mp4 91.2 MB
  • 3. Regression/10. Multiple Regression 2.srt 15.4 KB

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