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TORRENT DETAILS

[FreeCourseLab.com] 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	bc126d4da14afad1384b47bc4f0f34868930d5d3
Size:	4.2 GB in 99 files
Release Date(s):	Torrent Release: 11-11-2018 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

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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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