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

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

Category:

eBooks

Date:

09/03/19 at 4:33pm GMT+1

Submitter:

Unknown

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0

Leechers:

1

File size:

6.3 GB in 96 files

Torrent Status:

This torrent has NOT been verified.

Infohash:

30d16b9ca0ae717415640b38b6d7014bc13344c6

File list

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