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TORRENT DETAILS

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

TORRENT SUMMARY

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

Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash:	be1c9559ddc8efb105665a8d97abca77b961d8c9
Size:	6.8 GB in 99 files
Release Date(s):	Torrent Release: 26-12-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

The Complete Machine Learning Course with Python

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

Created by Codestars by Rob Percival, Anthony NG, Rob Percival
Last updated 11/2019
English

What you'll learn

Machine Learning Engineers earn on average $166,000 - become an ideal candidate with this course!
Solve any problem in your business, job or personal life with powerful Machine Learning models
Train machine learning algorithms to predict house prices, identify handwriting, detect cancer cells & more
Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unsupervised Machine Learning etc

For More Courses Visit: https://FreeAllCourse.com

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FILE LIST

Filename		Size
	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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