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[FreeAllCourse Com] Udemy- The Complete Machine Learning Course with Python

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Title: Udemy- TheGroup: NOGRPSource: Udemy-
Info Hash
BE1C9559DDC8EFB105665A8D97ABCA77B961D8C9
Source
Unverified
Total Size
6.79 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. What Does the Course Cover.mp454.4 MB
1. Introduction/1. What Does the Course Cover.vtt2.97 KB
1. Introduction/2. How to Succeed in This Course.html2.22 KB
1. Introduction/3. Project Files and Resources.html1.71 KB
10. Unsupervised Learning Clustering/1. Clustering.mp4125.68 MB
10. Unsupervised Learning Clustering/1. Clustering.vtt18.73 KB
10. Unsupervised Learning Clustering/2. k_Means Clustering.mp457.72 MB
10. Unsupervised Learning Clustering/2. k_Means Clustering.vtt9.98 KB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4143.85 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.vtt24.36 KB
11. Deep Learning/2. Neural Network Architecture.mp422.38 MB
11. Deep Learning/2. Neural Network Architecture.vtt7.22 KB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4144.96 MB
11. Deep Learning/3. Motivational Example - Project MNIST.vtt23.52 KB
11. Deep Learning/4. Binary Classification Problem.mp472.11 MB
11. Deep Learning/4. Binary Classification Problem.vtt11.47 KB
11. Deep Learning/5. Natural Language Processing - Binary Classification.mp476.05 MB
11. Deep Learning/5. Natural Language Processing - Binary Classification.vtt11.74 KB
12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.mp413.75 MB
12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.vtt2.54 KB
12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.mp454.96 MB
12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.vtt12.65 KB
12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.mp418.67 MB
12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.vtt5.13 KB
12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.mp437.47 MB
12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.vtt11.22 KB
12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.mp470.06 MB
12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.vtt16.68 KB
12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.mp427.44 MB
12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.vtt5.31 KB
12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.mp420.85 MB
12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.vtt4.87 KB
12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.mp477.24 MB
12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.vtt11.5 KB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4155.61 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.vtt23.08 KB
12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.mp440.61 MB
12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.vtt11.43 KB
12. Appendix A1 Foundations of Deep Learning/6. Why Now.mp49.07 MB
12. Appendix A1 Foundations of Deep Learning/6. Why Now.vtt3.02 KB
12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.mp414.16 MB
12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.vtt5.1 KB
12. Appendix A1 Foundations of Deep Learning/8. Tensors.mp416.88 MB
12. Appendix A1 Foundations of Deep Learning/8. Tensors.vtt4.33 KB
12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.mp488.79 MB
12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.vtt18.87 KB
13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.mp463.66 MB
13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.vtt4.12 KB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4124.88 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.vtt15.2 KB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4128.54 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.vtt22.39 KB
13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.mp411.21 MB
13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.vtt1.59 KB
13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.mp479.75 MB
13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.vtt10.67 KB
13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.mp428.48 MB
13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.vtt3.29 KB
13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.mp497 MB
13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.vtt12.12 KB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4111.14 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.vtt12.93 KB
13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.mp435.41 MB
13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.vtt5.98 KB
13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.mp443.81 MB
13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.vtt9.2 KB
13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.mp466.21 MB
13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.vtt8.68 KB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4141.94 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.vtt15.37 KB
13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.mp430.03 MB
13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.vtt6.73 KB
13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.mp429.13 MB
13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.vtt6.22 KB
13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.mp484.39 MB
13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.vtt18.46 KB
13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.mp432.32 MB
13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.vtt6.86 KB
13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.mp488.13 MB
13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.vtt12.51 KB
2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.mp438.42 MB
2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.vtt5.99 KB
2. Getting Started with Anaconda/2. Hello World.mp451.22 MB
2. Getting Started with Anaconda/2. Hello World.vtt12.5 KB
2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.mp489.84 MB
2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.vtt14.45 KB
2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.mp464.56 MB
2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.vtt10.04 KB
2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.mp455.87 MB
2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.vtt9.92 KB
2. Getting Started with Anaconda/6. Iris Project 4 Visualization.mp493.49 MB
2. Getting Started with Anaconda/6. Iris Project 4 Visualization.vtt11.52 KB
3. Regression/1. Scikit-Learn.mp448.45 MB
3. Regression/1. Scikit-Learn.vtt9.97 KB
3. Regression/10. Multiple Regression 2.mp491.15 MB
3. Regression/10. Multiple Regression 2.vtt13.81 KB
3. Regression/11. Regularized Regression.mp444.35 MB
3. Regression/11. Regularized Regression.vtt7.79 KB
3. Regression/12. Polynomial Regression.mp4110.78 MB
3. Regression/12. Polynomial Regression.vtt19.69 KB

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