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Title: Udemy - Machine Learning AGroup: NOGRPSource: Udemy
Info Hash
30D16B9CA0AE717415640B38B6D7014BC13344C6
Source
Unverified
Total Size
6.33 GB
Total Files
100
Seeders
0
Leechers
0
Health
Score
0
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
1. Welcome to the course!/1. Applications of Machine Learning.mp47.99 MB
1. Welcome to the course!/1. Applications of Machine Learning.vtt4.64 KB
1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp417.55 MB
1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).vtt7.94 KB
1. Welcome to the course!/11. BONUS Meet your instructors.html1.04 KB
1. Welcome to the course!/12. Some Additional Resources.html551 B
1. Welcome to the course!/13. FAQBot!.html1.76 KB
1. Welcome to the course!/2. BONUS Learning Paths.html2.37 KB
1. Welcome to the course!/3. Why Machine Learning is the Future.mp412.81 MB
1. Welcome to the course!/3. Why Machine Learning is the Future.vtt8.12 KB
1. Welcome to the course!/4. Important notes, tips & tricks for this course.html3.24 KB
1. Welcome to the course!/5. This PDF resource will help you a lot.html1.49 KB
1. Welcome to the course!/5.1 Machine_Learning_A_Z_Q_A.pdf.pdf2.26 MB
1. Welcome to the course!/6. The whole code folder of the course.html1.02 KB
1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip228.44 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp452.92 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt52.93 MB
1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).mp419.52 MB
1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).vtt10.98 KB
1. Welcome to the course!/9. Update Recommended Anaconda Version.html1.32 KB
10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp48.85 MB
10. Evaluating Regression Models Performance/1. R-Squared Intuition.vtt6.46 KB
10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp419.28 MB
10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.vtt12.99 KB
10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.mp421.89 MB
10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.vtt11.59 KB
10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp424.21 MB
10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.vtt12.02 KB
10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html2.91 KB
11. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html831 B
12. Logistic Regression/1. Logistic Regression Intuition.mp429.17 MB
12. Logistic Regression/1. Logistic Regression Intuition.vtt20.91 KB
12. Logistic Regression/10. Logistic Regression in R - Step 2.mp47.85 MB
12. Logistic Regression/10. Logistic Regression in R - Step 2.vtt3.92 KB
12. Logistic Regression/11. Logistic Regression in R - Step 3.mp414.59 MB
12. Logistic Regression/11. Logistic Regression in R - Step 3.vtt6.65 KB
12. Logistic Regression/12. Logistic Regression in R - Step 4.mp46.91 MB
12. Logistic Regression/12. Logistic Regression in R - Step 4.vtt3.55 KB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp451.68 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.vtt26 KB
12. Logistic Regression/14. R Classification Template.mp412.47 MB
12. Logistic Regression/14. R Classification Template.vtt6.06 KB
12. Logistic Regression/15. Logistic Regression.html118 B
12. Logistic Regression/2. How to get the dataset.mp411.71 MB
12. Logistic Regression/2. How to get the dataset.vtt4.23 KB
12. Logistic Regression/3. Logistic Regression in Python - Step 1.mp412.93 MB
12. Logistic Regression/3. Logistic Regression in Python - Step 1.vtt2.26 MB
12. Logistic Regression/4. Logistic Regression in Python - Step 2.mp48.24 MB
12. Logistic Regression/4. Logistic Regression in Python - Step 2.vtt4.42 KB
12. Logistic Regression/5. Logistic Regression in Python - Step 3.mp45.98 MB
12. Logistic Regression/5. Logistic Regression in Python - Step 3.vtt3.66 KB
12. Logistic Regression/6. Logistic Regression in Python - Step 4.mp410.38 MB
12. Logistic Regression/6. Logistic Regression in Python - Step 4.vtt6.37 KB
12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp442.55 MB
12. Logistic Regression/7. Logistic Regression in Python - Step 5.vtt26.48 KB
12. Logistic Regression/8. Python Classification Template.mp412.06 MB
12. Logistic Regression/8. Python Classification Template.vtt5.48 KB
12. Logistic Regression/9. Logistic Regression in R - Step 1.mp412.59 MB
12. Logistic Regression/9. Logistic Regression in R - Step 1.vtt7.92 KB
13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp49.28 MB
13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.vtt7.23 KB
13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.mp411.71 MB
13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.vtt4.23 KB
13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp435.21 MB
13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.vtt18.76 KB
13. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp441.37 MB
13. K-Nearest Neighbors (K-NN)/4. K-NN in R.vtt20.68 KB
13. K-Nearest Neighbors (K-NN)/5. K-Nearest Neighbor.html118 B
14. Support Vector Machine (SVM)/1. SVM Intuition.mp418.01 MB
14. Support Vector Machine (SVM)/1. SVM Intuition.vtt14.19 KB
14. Support Vector Machine (SVM)/2. How to get the dataset.mp411.72 MB
14. Support Vector Machine (SVM)/2. How to get the dataset.vtt4.23 KB
14. Support Vector Machine (SVM)/3. SVM in Python.mp431.16 MB
14. Support Vector Machine (SVM)/3. SVM in Python.vtt16.91 KB
14. Support Vector Machine (SVM)/4. SVM in R.mp432.26 MB
14. Support Vector Machine (SVM)/4. SVM in R.vtt16.36 KB
14. Support Vector Machine (SVM)/4.1 SVM.zip.zip8.27 KB
15. Kernel SVM/1. Kernel SVM Intuition.mp45.79 MB
15. Kernel SVM/1. Kernel SVM Intuition.vtt3.92 KB
15. Kernel SVM/2. Mapping to a higher dimension.mp413.74 MB
15. Kernel SVM/2. Mapping to a higher dimension.vtt9.32 KB
15. Kernel SVM/3. The Kernel Trick.mp429.28 MB
15. Kernel SVM/3. The Kernel Trick.vtt14.43 KB
15. Kernel SVM/4. Types of Kernel Functions.mp412.31 MB
15. Kernel SVM/4. Types of Kernel Functions.vtt4.37 KB
15. Kernel SVM/5. How to get the dataset.mp411.71 MB
15. Kernel SVM/5. How to get the dataset.vtt4.23 KB
15. Kernel SVM/6. Kernel SVM in Python.mp441.62 MB
15. Kernel SVM/6. Kernel SVM in Python.vtt24.98 KB
15. Kernel SVM/7. Kernel SVM in R.mp440.45 MB
15. Kernel SVM/7. Kernel SVM in R.vtt22.66 KB
16. Naive Bayes/1. Bayes Theorem.mp443.9 MB
16. Naive Bayes/1. Bayes Theorem.vtt30.66 KB
16. Naive Bayes/2. Naive Bayes Intuition.mp427.79 MB
16. Naive Bayes/2. Naive Bayes Intuition.vtt20.89 KB
16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp413.28 MB
16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).vtt8.57 KB

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