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

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Title: Udemy - Machine Learning AGroup: NOGRPSource: Udemy
Info Hash
0585B662416E369063130D19B1DA08BD469CE0EA
Source
Unverified
Total Size
5.93 GB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
1. Welcome to the course!/1. Applications of Machine Learning.mp47.99 MB
1. Welcome to the course!/1. Applications of Machine Learning.srt5.3 KB
1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp417.56 MB
1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).srt9.15 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.srt9.23 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.mp452.91 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.srt4.04 KB
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).srt12.3 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.srt7.17 KB
10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp419.28 MB
10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.srt14.45 KB
10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.mp421.9 MB
10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.srt12.93 KB
10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp424.21 MB
10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.srt13.32 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.mp429.18 MB
12. Logistic Regression/1. Logistic Regression Intuition.srt23.94 KB
12. Logistic Regression/10. Logistic Regression in R - Step 2.mp47.85 MB
12. Logistic Regression/10. Logistic Regression in R - Step 2.srt4.35 KB
12. Logistic Regression/11. Logistic Regression in R - Step 3.mp414.6 MB
12. Logistic Regression/11. Logistic Regression in R - Step 3.srt7.42 KB
12. Logistic Regression/12. Logistic Regression in R - Step 4.mp46.9 MB
12. Logistic Regression/12. Logistic Regression in R - Step 4.srt3.98 KB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp451.68 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.srt29.1 KB
12. Logistic Regression/14. R Classification Template.mp412.47 MB
12. Logistic Regression/14. R Classification Template.srt6.7 KB
12. Logistic Regression/15. Logistic Regression.html125 B
12. Logistic Regression/2. How to get the dataset.mp411.71 MB
12. Logistic Regression/2. How to get the dataset.srt4.76 KB
12. Logistic Regression/3. Logistic Regression in Python - Step 1.mp412.94 MB
12. Logistic Regression/3. Logistic Regression in Python - Step 1.srt8.76 KB
12. Logistic Regression/4. Logistic Regression in Python - Step 2.mp48.24 MB
12. Logistic Regression/4. Logistic Regression in Python - Step 2.srt4.92 KB
12. Logistic Regression/5. Logistic Regression in Python - Step 3.mp45.97 MB
12. Logistic Regression/5. Logistic Regression in Python - Step 3.srt4.1 KB
12. Logistic Regression/6. Logistic Regression in Python - Step 4.mp410.37 MB
12. Logistic Regression/6. Logistic Regression in Python - Step 4.srt7.16 KB
12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp442.55 MB
12. Logistic Regression/7. Logistic Regression in Python - Step 5.srt29.7 KB
12. Logistic Regression/8. Python Classification Template.mp412.07 MB
12. Logistic Regression/8. Python Classification Template.srt6.07 KB
12. Logistic Regression/9. Logistic Regression in R - Step 1.mp412.59 MB
12. Logistic Regression/9. Logistic Regression in R - Step 1.srt8.92 KB
13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp49.27 MB
13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.srt8.04 KB
13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.mp411.72 MB
13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.srt4.76 KB
13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp435.22 MB
13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.srt21.23 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.srt23.37 KB
13. K-Nearest Neighbors (K-NN)/5. K-Nearest Neighbor.html125 B
14. Support Vector Machine (SVM)/1. SVM Intuition.mp418.01 MB
14. Support Vector Machine (SVM)/1. SVM Intuition.srt15.72 KB
14. Support Vector Machine (SVM)/2. How to get the dataset.mp411.71 MB
14. Support Vector Machine (SVM)/2. How to get the dataset.srt4.76 KB
14. Support Vector Machine (SVM)/3. SVM in Python.mp431.17 MB
14. Support Vector Machine (SVM)/3. SVM in Python.srt19.15 KB
14. Support Vector Machine (SVM)/4. SVM in R.mp432.26 MB
14. Support Vector Machine (SVM)/4. SVM in R.srt18.4 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.srt4.41 KB
15. Kernel SVM/2. Mapping to a higher dimension.mp413.75 MB
15. Kernel SVM/2. Mapping to a higher dimension.srt10.54 KB
15. Kernel SVM/3. The Kernel Trick.mp429.28 MB
15. Kernel SVM/3. The Kernel Trick.srt16.52 KB
15. Kernel SVM/4. Types of Kernel Functions.mp412.3 MB
15. Kernel SVM/4. Types of Kernel Functions.srt4.94 KB
15. Kernel SVM/5. How to get the dataset.mp411.71 MB
15. Kernel SVM/5. How to get the dataset.srt4.76 KB
15. Kernel SVM/6. Kernel SVM in Python.mp441.62 MB
15. Kernel SVM/6. Kernel SVM in Python.srt28.24 KB
15. Kernel SVM/7. Kernel SVM in R.mp440.45 MB
15. Kernel SVM/7. Kernel SVM in R.srt25.44 KB
16. Naive Bayes/1. Bayes Theorem.mp443.9 MB
16. Naive Bayes/1. Bayes Theorem.srt34.45 KB
16. Naive Bayes/2. Naive Bayes Intuition.mp427.8 MB
16. Naive Bayes/2. Naive Bayes Intuition.srt23.34 KB
16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp413.28 MB
16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).srt9.5 KB
16. Naive Bayes/4. Naive Bayes Intuition (Extras).mp418.95 MB
16. Naive Bayes/4. Naive Bayes Intuition (Extras).srt15.93 KB
16. Naive Bayes/5. How to get the dataset.mp411.71 MB

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