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TORRENT DETAILS

[FreeTutorials.Us] Udemy - Projects In Machine Learning Beginner To Professional

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e0a4b5bb7cf93c587232ecbec3c28d795973a69f
Size:	4.2 GB in 99 files
Release Date(s):	Torrent Release: 17-10-2018 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

[UDEMY] PROJECTS IN MACHINE LEARNING : BEGINNER TO PROFESSIONAL [FTU]

A complete guide to master machine learning concepts and create real world ML solutions
Created by Eduonix Learning Solutions, Eduonix-Tech ., Samy
Last updated 9/2018
English
What Will I Learn?
Learn core concepts of Machine Learning
Learn about differnt types of machine learning algorithms
Build real world projects using Supervised and Unsupervised learning algorithms
Learn to implement neural networks

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/

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FILE LIST

Filename		Size
	1. An Introduction to Machine Learning/1. Introduction.mp4	1.7 MB
	1. An Introduction to Machine Learning/1. Introduction.srt	1.6 KB
	1. An Introduction to Machine Learning/2. What is Machine Learning.mp4	29.2 MB
	1. An Introduction to Machine Learning/2. What is Machine Learning.srt	15.8 KB
	1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4	53.1 MB
	1. An Introduction to Machine Learning/3. Types and Applications of ML.srt	34.8 KB
	1. An Introduction to Machine Learning/4. AI vs ML.mp4	22.9 MB
	1. An Introduction to Machine Learning/4. AI vs ML.srt	12.5 KB
	1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4	35.8 MB
	1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt	23.3 KB
	1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html	65 B
	1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf	64.5 KB
	1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html	53 B
	1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf	61.7 KB
	10. Project 5 Object Recognition/1. Intro.mp4	7.2 MB
	10. Project 5 Object Recognition/1. Intro.srt	1.7 KB
	10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip	219 KB
	10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4	180.5 MB
	10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt	32.6 KB
	10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4	205.6 MB
	10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt	30.7 KB
	10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4	170.8 MB
	10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt	25.3 KB
	11. Project 6 Image Super Resolution/1. Intro.mp4	9.6 MB
	11. Project 6 Image Super Resolution/1. Intro.srt	1.5 KB
	11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip	9.4 MB
	11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4	258.8 MB
	11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt	44.3 KB
	11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4	357.6 MB
	11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt	55.1 KB
	12. Project 7 Text Classification/1. Intro.mp4	5 MB
	12. Project 7 Text Classification/1. Intro.srt	1.4 KB
	12. Project 7 Text Classification/1.1 Text Classification.zip.zip	55.4 KB
	12. Project 7 Text Classification/2. Feature Engineering.mp4	375.4 MB
	12. Project 7 Text Classification/2. Feature Engineering.srt	56.5 KB
	12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4	204.2 MB
	12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt	32.3 KB
	13. Project 8 - KMeans/1. Intro.mp4	11.2 MB
	13. Project 8 - KMeans/1. Intro.srt	1.6 KB
	13. Project 8 - KMeans/1.1 KMeans.zip.zip	189.1 KB
	13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4	230.9 MB
	13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt	46 KB
	13. Project 8 - KMeans/3. Evaluation and Visualization.mp4	209.5 MB
	13. Project 8 - KMeans/3. Evaluation and Visualization.srt	34.8 KB
	14. Project 9 PCA/1. Intro.mp4	3.7 MB
	14. Project 9 PCA/1. Intro.srt	1.3 KB
	14. Project 9 PCA/1.1 PCA.zip.zip	219.6 KB
	14. Project 9 PCA/2. The Elbow Method.mp4	114.2 MB
	14. Project 9 PCA/2. The Elbow Method.srt	29.1 KB
	14. Project 9 PCA/3. PCA Compression and Visualization.mp4	185 MB
	14. Project 9 PCA/3. PCA Compression and Visualization.srt	36.1 KB
	2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4	25.5 MB
	2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt	18.3 KB
	2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html	53 B
	2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf	75.3 KB
	2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4	34.1 MB
	2. Supervised Learning - part 1/2. Linear Methods for Classification.srt	22 KB
	2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4	27 MB
	2. Supervised Learning - part 1/3. Linear Methods for Regression.srt	14.7 KB
	2. Supervised Learning - part 1/4. Support Vector Machines.mp4	35.8 MB
	2. Supervised Learning - part 1/4. Support Vector Machines.srt	20.5 KB
	2. Supervised Learning - part 1/5. Basis Expansions.mp4	21.3 MB
	2. Supervised Learning - part 1/5. Basis Expansions.srt	14.1 KB
	2. Supervised Learning - part 1/6. Model Selection Procedures.mp4	26.9 MB
	2. Supervised Learning - part 1/6. Model Selection Procedures.srt	17.1 KB
	2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4	31 MB
	2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt	18.9 KB
	2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip	167.2 KB
	2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4	36.2 MB
	2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt	17.8 KB
	2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html	65 B
	2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf	53 KB
	3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4	31.8 MB
	3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt	15.8 KB
	3. Unsupervised Learning/2. Association Rules.mp4	28.5 MB
	3. Unsupervised Learning/2. Association Rules.srt	18.7 KB
	3. Unsupervised Learning/3. Cluster Analysis.mp4	28 MB
	3. Unsupervised Learning/3. Cluster Analysis.srt	17.9 KB
	3. Unsupervised Learning/4. Reinforcement Learning.mp4	21 MB
	3. Unsupervised Learning/4. Reinforcement Learning.srt	22.4 KB
	3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4	22 MB
	3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt	19.8 KB
	3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip	92.5 KB
	3. Unsupervised Learning/6. Quiz- Questions- Section 3.html	65 B
	3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf	29.8 KB
	3. Unsupervised Learning/7. Quiz- Answers - Section 3.html	53 B
	3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf	41.3 KB
	4. Neural Networks/1. Introduction to Neural Networks.mp4	22.7 MB
	4. Neural Networks/1. Introduction to Neural Networks.srt	17.6 KB
	4. Neural Networks/2. The Perceptron.mp4	17.1 MB
	4. Neural Networks/2. The Perceptron.srt	13.4 KB
	4. Neural Networks/3. The Backpropagation Algorithm.mp4	22.6 MB
	4. Neural Networks/3. The Backpropagation Algorithm.srt	16.1 KB
	4. Neural Networks/4. Training Procedures.mp4	24 MB
	4. Neural Networks/4. Training Procedures.srt	18.7 KB
	4. Neural Networks/5. Convolutional Neural Networks.mp4	32 MB
	4. Neural Networks/5. Convolutional Neural Networks.srt	21.8 KB
	5. Real World Machine Learning/1. Introduction to Real World ML.mp4	25.6 MB
	5. Real World Machine Learning/1. Introduction to Real World ML.srt	16.4 KB

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