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[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

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6.8 GB
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1
Files
99
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at 3:30pm GMT+1
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4105824974f98a3c8a55ef524a209615ba9b11bf
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Description
The Complete Machine Learning Course with Python

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

For More Courses Visit: https://desirecourse.net

File list
  • [DesireCourse.Net] 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.vtt 3 KB
  • 1. Introduction/2. How to Succeed in This Course.html 2.2 KB
  • 1. Introduction/3. Project Files and Resources.html 1.7 KB
  • 10. Unsupervised Learning Clustering/1. Clustering.mp4 125.7 MB
  • 10. Unsupervised Learning Clustering/1. Clustering.vtt 18.7 KB
  • 10. Unsupervised Learning Clustering/2. k_Means Clustering.mp4 57.7 MB
  • 10. Unsupervised Learning Clustering/2. k_Means Clustering.vtt 10 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.vtt 24.4 KB
  • 11. Deep Learning/2. Neural Network Architecture.mp4 22.4 MB
  • 11. Deep Learning/2. Neural Network Architecture.vtt 7.2 KB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.mp4 145 MB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.vtt 23.5 KB
  • 11. Deep Learning/4. Binary Classification Problem.mp4 72.1 MB
  • 11. Deep Learning/4. Binary Classification Problem.vtt 11.5 KB
  • 11. Deep Learning/5. Natural Language Processing - Binary Classification.mp4 76 MB
  • 11. Deep Learning/5. Natural Language Processing - Binary Classification.vtt 11.7 KB
  • 12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.mp4 13.8 MB
  • 12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.vtt 2.5 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.vtt 12.6 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.vtt 5.1 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.vtt 11.2 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.vtt 16.7 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.vtt 5.3 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.vtt 4.9 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.vtt 11.5 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.vtt 23.1 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.vtt 11.4 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.vtt 3 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.vtt 5.1 KB
  • 12. Appendix A1 Foundations of Deep Learning/8. Tensors.mp4 16.9 MB
  • 12. Appendix A1 Foundations of Deep Learning/8. Tensors.vtt 4.3 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.vtt 18.9 KB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.mp4 63.7 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.vtt 4.1 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.vtt 15.2 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.vtt 22.4 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.vtt 1.6 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.vtt 10.7 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.vtt 3.3 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.vtt 12.1 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.vtt 12.9 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.vtt 6 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.vtt 9.2 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.vtt 8.7 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.vtt 15.4 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.vtt 6.7 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.vtt 6.2 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.vtt 18.5 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.vtt 6.9 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.vtt 12.5 KB
  • 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.vtt 6 KB
  • 2. Getting Started with Anaconda/2. Hello World.mp4 51.2 MB
  • 2. Getting Started with Anaconda/2. Hello World.vtt 12.5 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.vtt 14.5 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.vtt 10 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.vtt 9.9 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.vtt 11.5 KB
  • 3. Regression/1. Scikit-Learn.mp4 48.5 MB
  • 3. Regression/1. Scikit-Learn.vtt 10 KB
  • 3. Regression/10. Multiple Regression 2.mp4 91.2 MB
  • 3. Regression/10. Multiple Regression 2.vtt 13.8 KB
  • 3. Regression/11. Regularized Regression.mp4 44.3 MB
  • 3. Regression/11. Regularized Regression.vtt 7.8 KB
  • 3. Regression/12. Polynomial Regression.mp4 110.8 MB

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