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TORRENT DETAILS

[FreeCourseSite Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

TORRENT SUMMARY

	Status:	This torrent has NOT been verified.
Category:	eBooks
Infohash	30d16b9ca0ae717415640b38b6d7014bc13344c6
Size:	6.3 GB in 96 files
Release Date(s):	Torrent Release: 03-09-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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FILE LIST

Filename		Size
	1. Welcome to the course!/1. Applications of Machine Learning.mp4	8 MB
	1. Welcome to the course!/1. Applications of Machine Learning.vtt	4.6 KB
	1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp4	17.6 MB
	1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).vtt	7.9 KB
	1. Welcome to the course!/11. BONUS Meet your instructors.html	1 KB
	1. Welcome to the course!/12. Some Additional Resources.html	551 B
	1. Welcome to the course!/13. FAQBot!.html	1.8 KB
	1. Welcome to the course!/2. BONUS Learning Paths.html	2.4 KB
	1. Welcome to the course!/3. Why Machine Learning is the Future.mp4	12.8 MB
	1. Welcome to the course!/3. Why Machine Learning is the Future.vtt	8.1 KB
	1. Welcome to the course!/4. Important notes, tips & tricks for this course.html	3.2 KB
	1. Welcome to the course!/5. This PDF resource will help you a lot.html	1.5 KB
	1. Welcome to the course!/5.1 Machine_Learning_A_Z_Q_A.pdf.pdf	2.3 MB
	1. Welcome to the course!/6. The whole code folder of the course.html	1 KB
	1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip	228.4 MB
	1. Welcome to the course!/7. Updates on Udemy Reviews.mp4	52.9 MB
	1. Welcome to the course!/7. Updates on Udemy Reviews.vtt	52.9 MB
	1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).mp4	19.5 MB
	1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).vtt	11 KB
	1. Welcome to the course!/9. Update Recommended Anaconda Version.html	1.3 KB
	10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4	8.9 MB
	10. Evaluating Regression Models Performance/1. R-Squared Intuition.vtt	6.5 KB
	10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4	19.3 MB
	10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.vtt	13 KB
	10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.mp4	21.9 MB
	10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.vtt	11.6 KB
	10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp4	24.2 MB
	10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.vtt	12 KB
	10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html	2.9 KB
	11. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html	831 B
	12. Logistic Regression/1. Logistic Regression Intuition.mp4	29.2 MB
	12. Logistic Regression/1. Logistic Regression Intuition.vtt	20.9 KB
	12. Logistic Regression/10. Logistic Regression in R - Step 2.mp4	7.8 MB
	12. Logistic Regression/10. Logistic Regression in R - Step 2.vtt	3.9 KB
	12. Logistic Regression/11. Logistic Regression in R - Step 3.mp4	14.6 MB
	12. Logistic Regression/11. Logistic Regression in R - Step 3.vtt	6.6 KB
	12. Logistic Regression/12. Logistic Regression in R - Step 4.mp4	6.9 MB
	12. Logistic Regression/12. Logistic Regression in R - Step 4.vtt	3.6 KB
	12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4	51.7 MB
	12. Logistic Regression/13. Logistic Regression in R - Step 5.vtt	26 KB
	12. Logistic Regression/14. R Classification Template.mp4	12.5 MB
	12. Logistic Regression/14. R Classification Template.vtt	6.1 KB
	12. Logistic Regression/15. Logistic Regression.html	118 B
	12. Logistic Regression/2. How to get the dataset.mp4	11.7 MB
	12. Logistic Regression/2. How to get the dataset.vtt	4.2 KB
	12. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4	12.9 MB
	12. Logistic Regression/3. Logistic Regression in Python - Step 1.vtt	2.3 MB
	12. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4	8.2 MB
	12. Logistic Regression/4. Logistic Regression in Python - Step 2.vtt	4.4 KB
	12. Logistic Regression/5. Logistic Regression in Python - Step 3.mp4	6 MB
	12. Logistic Regression/5. Logistic Regression in Python - Step 3.vtt	3.7 KB
	12. Logistic Regression/6. Logistic Regression in Python - Step 4.mp4	10.4 MB
	12. Logistic Regression/6. Logistic Regression in Python - Step 4.vtt	6.4 KB
	12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4	42.5 MB
	12. Logistic Regression/7. Logistic Regression in Python - Step 5.vtt	26.5 KB
	12. Logistic Regression/8. Python Classification Template.mp4	12.1 MB
	12. Logistic Regression/8. Python Classification Template.vtt	5.5 KB
	12. Logistic Regression/9. Logistic Regression in R - Step 1.mp4	12.6 MB
	12. Logistic Regression/9. Logistic Regression in R - Step 1.vtt	7.9 KB
	13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4	9.3 MB
	13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.vtt	7.2 KB
	13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.mp4	11.7 MB
	13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.vtt	4.2 KB
	13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4	35.2 MB
	13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.vtt	18.8 KB
	13. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4	41.4 MB
	13. K-Nearest Neighbors (K-NN)/4. K-NN in R.vtt	20.7 KB
	13. K-Nearest Neighbors (K-NN)/5. K-Nearest Neighbor.html	118 B
	14. Support Vector Machine (SVM)/1. SVM Intuition.mp4	18 MB
	14. Support Vector Machine (SVM)/1. SVM Intuition.vtt	14.2 KB
	14. Support Vector Machine (SVM)/2. How to get the dataset.mp4	11.7 MB
	14. Support Vector Machine (SVM)/2. How to get the dataset.vtt	4.2 KB
	14. Support Vector Machine (SVM)/3. SVM in Python.mp4	31.2 MB
	14. Support Vector Machine (SVM)/3. SVM in Python.vtt	16.9 KB
	14. Support Vector Machine (SVM)/4. SVM in R.mp4	32.3 MB
	14. Support Vector Machine (SVM)/4. SVM in R.vtt	16.4 KB
	14. Support Vector Machine (SVM)/4.1 SVM.zip.zip	8.3 KB
	15. Kernel SVM/1. Kernel SVM Intuition.mp4	5.8 MB
	15. Kernel SVM/1. Kernel SVM Intuition.vtt	3.9 KB
	15. Kernel SVM/2. Mapping to a higher dimension.mp4	13.7 MB
	15. Kernel SVM/2. Mapping to a higher dimension.vtt	9.3 KB
	15. Kernel SVM/3. The Kernel Trick.mp4	29.3 MB
	15. Kernel SVM/3. The Kernel Trick.vtt	14.4 KB
	15. Kernel SVM/4. Types of Kernel Functions.mp4	12.3 MB
	15. Kernel SVM/4. Types of Kernel Functions.vtt	4.4 KB
	15. Kernel SVM/5. How to get the dataset.mp4	11.7 MB
	15. Kernel SVM/5. How to get the dataset.vtt	4.2 KB
	15. Kernel SVM/6. Kernel SVM in Python.mp4	41.6 MB
	15. Kernel SVM/6. Kernel SVM in Python.vtt	25 KB
	15. Kernel SVM/7. Kernel SVM in R.mp4	40.5 MB
	15. Kernel SVM/7. Kernel SVM in R.vtt	22.7 KB
	16. Naive Bayes/1. Bayes Theorem.mp4	43.9 MB
	16. Naive Bayes/1. Bayes Theorem.vtt	30.7 KB
	16. Naive Bayes/2. Naive Bayes Intuition.mp4	27.8 MB
	16. Naive Bayes/2. Naive Bayes Intuition.vtt	20.9 KB
	16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4	13.3 MB

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