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

Torrent Hash:
30D16B9CA0AE717415640B38B6D7014BC13344C6
Number of Files:
571
Content Size:
6.33GB
Convert On:
2020-08-19
Magnet Link:
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File Name
Size
0. Websites you may like/[CourseClub.ME].url
122B
0. Websites you may like/[FCS Forum].url
133B
0. Websites you may like/[FreeCourseSite.com].url
127B
1. Welcome to the course!/1. Applications of Machine Learning.mp4
7.99MB
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1. Welcome to the course!/1. Applications of Machine Learning.vtt
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1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp4
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1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).vtt
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1. Welcome to the course!/11. BONUS Meet your instructors.html
1.04KB
1. Welcome to the course!/12. Some Additional Resources.html
551B
1. Welcome to the course!/13. FAQBot!.html
1.76KB
1. Welcome to the course!/2. BONUS Learning Paths.html
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1. Welcome to the course!/3. Why Machine Learning is the Future.mp4
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1. Welcome to the course!/3. Why Machine Learning is the Future.vtt
8.12KB
1. Welcome to the course!/4. Important notes, tips & tricks for this course.html
3.24KB
1. Welcome to the course!/5. This PDF resource will help you a lot.html
1.49KB
1. Welcome to the course!/5.1 Machine_Learning_A_Z_Q_A.pdf.pdf
2.26MB
1. Welcome to the course!/6. The whole code folder of the course.html
1.02KB
1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip
228.44MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4
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1. Welcome to the course!/7. Updates on Udemy Reviews.vtt
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1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).mp4
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1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).vtt
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1. Welcome to the course!/9. Update Recommended Anaconda Version.html
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10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4
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10. Evaluating Regression Models Performance/1. R-Squared Intuition.vtt
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10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4
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10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.vtt
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10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.mp4
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10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.vtt
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10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp4
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10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.vtt
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10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html
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11. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html
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12. Logistic Regression/1. Logistic Regression Intuition.mp4
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12. Logistic Regression/10. Logistic Regression in R - Step 2.mp4
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12. Logistic Regression/10. Logistic Regression in R - Step 2.vtt
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12. Logistic Regression/11. Logistic Regression in R - Step 3.mp4
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12. Logistic Regression/11. Logistic Regression in R - Step 3.vtt
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12. Logistic Regression/12. Logistic Regression in R - Step 4.mp4
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12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4
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12. Logistic Regression/14. R Classification Template.mp4
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12. Logistic Regression/14. R Classification Template.vtt
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12. Logistic Regression/15. Logistic Regression.html
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12. Logistic Regression/2. How to get the dataset.mp4
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12. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4
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12. Logistic Regression/8. Python Classification Template.mp4
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12. Logistic Regression/9. Logistic Regression in R - Step 1.mp4
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13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4
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13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.mp4
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14. Support Vector Machine (SVM)/1. SVM Intuition.mp4
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13.74MB
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9.32KB
15. Kernel SVM/3. The Kernel Trick.mp4
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15. Kernel SVM/4. Types of Kernel Functions.mp4
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15. Kernel SVM/5. How to get the dataset.mp4
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24.98KB
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16. Naive Bayes/1. Bayes Theorem.mp4
43.9MB
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16. Naive Bayes/2. Naive Bayes Intuition.mp4
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16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4
13.28MB
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8.57KB
16. Naive Bayes/4. Naive Bayes Intuition (Extras).mp4
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14.29KB
16. Naive Bayes/5. How to get the dataset.mp4
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16. Naive Bayes/6. Naive Bayes in Python.mp4
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12.22KB
16. Naive Bayes/7. Naive Bayes in R.mp4
37.31MB
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19.45KB
17. Decision Tree Classification/1. Decision Tree Classification Intuition.mp4
18.79MB
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17. Decision Tree Classification/3. Decision Tree Classification in Python.mp4
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17. Decision Tree Classification/4. Decision Tree Classification in R.mp4
51.18MB
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18. Random Forest Classification/1. Random Forest Classification Intuition.mp4
19.43MB
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6.41KB
18. Random Forest Classification/2. How to get the dataset.mp4
11.71MB
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18. Random Forest Classification/2. How to get the dataset.vtt
4.23KB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4
47.15MB
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18. Random Forest Classification/3. Random Forest Classification in Python.vtt
27.43KB
18. Random Forest Classification/4. Random Forest Classification in R.mp4
49.39MB
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18. Random Forest Classification/4. Random Forest Classification in R.vtt
28.85KB
19. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4
13.65MB
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19. Evaluating Classification Models Performance/1. False Positives & False Negatives.vtt
10.19KB
19. Evaluating Classification Models Performance/2. Confusion Matrix.mp4
8.22MB
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19. Evaluating Classification Models Performance/2. Confusion Matrix.vtt
6.74KB
19. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4
3.8MB
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19. Evaluating Classification Models Performance/3. Accuracy Paradox.vtt
2.94KB
19. Evaluating Classification Models Performance/4. CAP Curve.mp4
18.68MB
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19. Evaluating Classification Models Performance/4. CAP Curve.vtt
14.55KB
19. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4
11.52MB
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19. Evaluating Classification Models Performance/5. CAP Curve Analysis.vtt
8.35KB
19. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html
3.75KB
2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.mp4
2.99MB
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2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.vtt
2.29KB
2. -------------------- Part 1 Data Preprocessing --------------------/10. Feature Scaling.mp4
34.62MB
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2. -------------------- Part 1 Data Preprocessing --------------------/10. Feature Scaling.vtt
20.79KB
2. -------------------- Part 1 Data Preprocessing --------------------/11. And here is our Data Preprocessing Template!.mp4
19.67MB
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2. -------------------- Part 1 Data Preprocessing --------------------/11. And here is our Data Preprocessing Template!.vtt
12.67KB
2. -------------------- Part 1 Data Preprocessing --------------------/12. Data Preprocessing.html
118B
2. -------------------- Part 1 Data Preprocessing --------------------/2. Get the dataset.mp4
21.15MB
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2. -------------------- Part 1 Data Preprocessing --------------------/2. Get the dataset.vtt
9.39KB
2. -------------------- Part 1 Data Preprocessing --------------------/3. Importing the Libraries.mp4
11.08MB
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2. -------------------- Part 1 Data Preprocessing --------------------/3. Importing the Libraries.vtt
6.98KB
2. -------------------- Part 1 Data Preprocessing --------------------/4. Importing the Dataset.mp4
23.31MB
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2. -------------------- Part 1 Data Preprocessing --------------------/4. Importing the Dataset.vtt
16.59KB
2. -------------------- Part 1 Data Preprocessing --------------------/6. Missing Data.mp4
32.16MB
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2. -------------------- Part 1 Data Preprocessing --------------------/6. Missing Data.vtt
19.43KB
2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.mp4
40.79MB
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2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.vtt
23.86KB
2. -------------------- Part 1 Data Preprocessing --------------------/8. WARNING - Update.html
2.86KB
2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.mp4
39.03MB
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2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.vtt
23.91KB
20. -------------------- Part 4 Clustering --------------------/1. Welcome to Part 4 - Clustering.html
734B
21. K-Means Clustering/1. K-Means Clustering Intuition.mp4
26.86MB
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25.76KB
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12.3MB
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22. Hierarchical Clustering/7. HC in Python - Step 3.vtt
6.95KB
22. Hierarchical Clustering/8. HC in Python - Step 4.mp4
12.02MB
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22. Hierarchical Clustering/8. HC in Python - Step 4.vtt
5.85KB
22. Hierarchical Clustering/9. HC in Python - Step 5.mp4
8.39MB
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22. Hierarchical Clustering/9. HC in Python - Step 5.vtt
6.14KB
23. -------------------- Part 5 Association Rule Learning --------------------/1. Welcome to Part 5 - Association Rule Learning.html
425B
24. Apriori/1. Apriori Intuition.mp4
35.02MB
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24. Apriori/1. Apriori Intuition.vtt
22.59KB
24. Apriori/2. How to get the dataset.mp4
11.72MB
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24. Apriori/2. How to get the dataset.vtt
4.23KB
24. Apriori/3. Apriori in R - Step 1.mp4
42.87MB
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24. Apriori/3. Apriori in R - Step 1.vtt
42.89MB
24. Apriori/4. Apriori in R - Step 2.mp4
30.5MB
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24. Apriori/4. Apriori in R - Step 2.vtt
20.59KB
24. Apriori/5. Apriori in R - Step 3.mp4
43.84MB
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24. Apriori/5. Apriori in R - Step 3.vtt
27.72KB
24. Apriori/6. Apriori in Python - Step 1.mp4
37.97MB
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24. Apriori/6. Apriori in Python - Step 1.vtt
24.86KB
24. Apriori/7. Apriori in Python - Step 2.mp4
29.52MB
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24. Apriori/7. Apriori in Python - Step 2.vtt
20.11KB
24. Apriori/8. Apriori in Python - Step 3.mp4
26.96MB
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24. Apriori/8. Apriori in Python - Step 3.vtt
26.98MB
25. Eclat/1. Eclat Intuition.mp4
10.65MB
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25. Eclat/1. Eclat Intuition.vtt
7.12KB
25. Eclat/2. How to get the dataset.mp4
11.72MB
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25. Eclat/2. How to get the dataset.vtt
4.23KB
25. Eclat/3. Eclat in R.mp4
20.68MB
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25. Eclat/3. Eclat in R.vtt
14.11KB
25. Eclat/3.1 Eclat.zip.zip
48.54KB
26. -------------------- Part 6 Reinforcement Learning --------------------/1. Welcome to Part 6 - Reinforcement Learning.html
804B
27. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.mp4
30.19MB
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27. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.vtt
19.44KB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4
47.2MB
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27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.vtt
21.98KB
27. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 4.mp4
7.41MB
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27. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 4.vtt
3.86KB
27. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.mp4
29.33MB
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27. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.vtt
29.33MB
27. Upper Confidence Bound (UCB)/3. How to get the dataset.mp4
11.71MB
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27. Upper Confidence Bound (UCB)/3. How to get the dataset.vtt
4.23KB
27. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.mp4
31.53MB
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27. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.vtt
19.05KB
27. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.mp4
35.44MB
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27. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.vtt
21.82KB
27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4
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27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.vtt
23.38KB
27. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4
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27. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.vtt
4.38KB
27. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in R - Step 1.mp4
28.05MB
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27. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in R - Step 1.vtt
17.91KB
27. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in R - Step 2.mp4
29.02MB
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27. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in R - Step 2.vtt
19.2KB
28. Thompson Sampling/1. Thompson Sampling Intuition.mp4
37.27MB
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28. Thompson Sampling/1. Thompson Sampling Intuition.vtt
24.09KB
28. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.mp4
14.09MB
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9.89KB
28. Thompson Sampling/3. How to get the dataset.mp4
11.72MB
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28. Thompson Sampling/3. How to get the dataset.vtt
4.23KB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4
43.13MB
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28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.vtt
25.19KB
28. Thompson Sampling/5. Thompson Sampling in Python - Step 2.mp4
8.42MB
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28. Thompson Sampling/5. Thompson Sampling in Python - Step 2.vtt
5.2KB
28. Thompson Sampling/6. Thompson Sampling in R - Step 1.mp4
40.93MB
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28. Thompson Sampling/6. Thompson Sampling in R - Step 1.vtt
24.31KB
28. Thompson Sampling/7. Thompson Sampling in R - Step 2.mp4
7.47MB
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28. Thompson Sampling/7. Thompson Sampling in R - Step 2.vtt
4.76KB
29. -------------------- Part 7 Natural Language Processing --------------------/1. Welcome to Part 7 - Natural Language Processing.html
1.69KB
29. -------------------- Part 7 Natural Language Processing --------------------/10. Natural Language Processing in Python - Step 7.mp4
17.1MB
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29. -------------------- Part 7 Natural Language Processing --------------------/10. Natural Language Processing in Python - Step 7.vtt
8.6KB
29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.mp4
39.48MB
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29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.vtt
20.8KB
29. -------------------- Part 7 Natural Language Processing --------------------/12. Natural Language Processing in Python - Step 9.mp4
14.01MB
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29. -------------------- Part 7 Natural Language Processing --------------------/12. Natural Language Processing in Python - Step 9.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/13. Natural Language Processing in Python - Step 10.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/13. Natural Language Processing in Python - Step 10.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/14. Homework Challenge.html
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29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/16. Natural Language Processing in R - Step 2.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/16. Natural Language Processing in R - Step 2.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/17. Natural Language Processing in R - Step 3.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/17. Natural Language Processing in R - Step 3.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/18. Natural Language Processing in R - Step 4.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/18. Natural Language Processing in R - Step 4.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/19. Natural Language Processing in R - Step 5.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/19. Natural Language Processing in R - Step 5.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/2. Natural Language Processing Intuition.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/2. Natural Language Processing Intuition.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/20. Natural Language Processing in R - Step 6.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/20. Natural Language Processing in R - Step 6.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/21. Natural Language Processing in R - Step 7.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/21. Natural Language Processing in R - Step 7.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/22. Natural Language Processing in R - Step 8.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/22. Natural Language Processing in R - Step 8.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/23. Natural Language Processing in R - Step 9.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/23. Natural Language Processing in R - Step 9.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/24. Natural Language Processing in R - Step 10.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/24. Natural Language Processing in R - Step 10.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/25. Homework Challenge.html
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29. -------------------- Part 7 Natural Language Processing --------------------/3. How to get the dataset.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/3. How to get the dataset.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/4. Natural Language Processing in Python - Step 1.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/4. Natural Language Processing in Python - Step 1.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/5. Natural Language Processing in Python - Step 2.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/5. Natural Language Processing in Python - Step 2.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/6. Natural Language Processing in Python - Step 3.mp4
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29. -------------------- Part 7 Natural Language Processing --------------------/6. Natural Language Processing in Python - Step 3.vtt
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29. -------------------- Part 7 Natural Language Processing --------------------/7. Natural Language Processing in Python - Step 4.mp4
24.01MB
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29. -------------------- Part 7 Natural Language Processing --------------------/7. Natural Language Processing in Python - Step 4.vtt
15.17KB
29. -------------------- Part 7 Natural Language Processing --------------------/8. Natural Language Processing in Python - Step 5.mp4
14.91MB
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29. -------------------- Part 7 Natural Language Processing --------------------/8. Natural Language Processing in Python - Step 5.vtt
9.23KB
29. -------------------- Part 7 Natural Language Processing --------------------/9. Natural Language Processing in Python - Step 6.mp4
6.49MB
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29. -------------------- Part 7 Natural Language Processing --------------------/9. Natural Language Processing in Python - Step 6.vtt
3.86KB
3. -------------------- Part 2 Regression --------------------/1. Welcome to Part 2 - Regression.html
875B
30. -------------------- Part 8 Deep Learning --------------------/1. Welcome to Part 8 - Deep Learning.html
870B
30. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.mp4
31.31MB
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30. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.vtt
15.89KB
31. Artificial Neural Networks/1. Plan of attack.mp4
4.74MB
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31. Artificial Neural Networks/1. Plan of attack.vtt
3.54KB
31. Artificial Neural Networks/10. Business Problem Description.mp4
16.38MB
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31. Artificial Neural Networks/10. Business Problem Description.vtt
6.47KB
31. Artificial Neural Networks/11. Installing Keras.html
1.42KB
31. Artificial Neural Networks/12. ANN in Python - Step 1.mp4
29.31MB
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17.41KB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4
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31. Artificial Neural Networks/14. ANN in Python - Step 3.mp4
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31. Artificial Neural Networks/15. ANN in Python - Step 4.mp4
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31. Artificial Neural Networks/15. ANN in Python - Step 4.vtt
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31. Artificial Neural Networks/16. ANN in Python - Step 5.mp4
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31. Artificial Neural Networks/16. ANN in Python - Step 5.vtt
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31. Artificial Neural Networks/17. ANN in Python - Step 6.mp4
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31. Artificial Neural Networks/17. ANN in Python - Step 6.vtt
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31. Artificial Neural Networks/18. ANN in Python - Step 7.mp4
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31. Artificial Neural Networks/18. ANN in Python - Step 7.vtt
5.17KB
31. Artificial Neural Networks/19. ANN in Python - Step 8.mp4
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31. Artificial Neural Networks/19. ANN in Python - Step 8.vtt
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31. Artificial Neural Networks/2. The Neuron.mp4
29.87MB
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31. Artificial Neural Networks/2. The Neuron.vtt
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31. Artificial Neural Networks/20. ANN in Python - Step 9.mp4
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31. Artificial Neural Networks/20. ANN in Python - Step 9.vtt
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31. Artificial Neural Networks/21. ANN in Python - Step 10.mp4
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31. Artificial Neural Networks/21. ANN in Python - Step 10.vtt
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31. Artificial Neural Networks/22. ANN in R - Step 1.mp4
38.55MB
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31. Artificial Neural Networks/22. ANN in R - Step 1.vtt
23.03KB
31. Artificial Neural Networks/23. ANN in R - Step 2.mp4
14.17MB
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8.85KB
31. Artificial Neural Networks/24. ANN in R - Step 3.mp4
28.94MB
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16.38KB
31. Artificial Neural Networks/25. ANN in R - Step 4 (Last step).mp4
33.44MB
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17.95KB
31. Artificial Neural Networks/3. The Activation Function.mp4
14.76MB
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10.56KB
31. Artificial Neural Networks/4. How do Neural Networks work.mp4
23.53MB
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31. Artificial Neural Networks/4. How do Neural Networks work.vtt
16.84KB
31. Artificial Neural Networks/5. How do Neural Networks learn.mp4
26.55MB
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16.53KB
31. Artificial Neural Networks/6. Gradient Descent.mp4
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12.26KB
31. Artificial Neural Networks/7. Stochastic Gradient Descent.mp4
16.83MB
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10.74KB
31. Artificial Neural Networks/8. Backpropagation.mp4
10.92MB
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6.32KB
31. Artificial Neural Networks/9. How to get the dataset.mp4
11.71MB
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31. Artificial Neural Networks/9. How to get the dataset.vtt
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32. Convolutional Neural Networks/1. Plan of attack.mp4
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32. Convolutional Neural Networks/1. Plan of attack.vtt
4.63KB
32. Convolutional Neural Networks/10. How to get the dataset.mp4
11.71MB
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32. Convolutional Neural Networks/10. How to get the dataset.vtt
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32. Convolutional Neural Networks/11. Installing Keras.html
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32. Convolutional Neural Networks/12. CNN in Python - Step 1.mp4
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32. Convolutional Neural Networks/13. CNN in Python - Step 2.mp4
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32. Convolutional Neural Networks/15. CNN in Python - Step 4.mp4
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32. Convolutional Neural Networks/16. CNN in Python - Step 5.mp4
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23.05KB
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51.29MB
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25.61KB
36. Kernel PCA/1. How to get the dataset.mp4
11.71MB
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18.79KB
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56.57MB
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37. -------------------- Part 10 Model Selection & Boosting --------------------/1. Welcome to Part 10 - Model Selection & Boosting.html
899B
38. Model Selection/1. How to get the dataset.mp4
11.72MB
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11.72MB
38. Model Selection/2. k-Fold Cross Validation in Python.mp4
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24.24KB
38. Model Selection/4. Grid Search in Python - Step 1.mp4
38.21MB
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38. Model Selection/5. Grid Search in Python - Step 2.mp4
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13.28KB
38. Model Selection/6. Grid Search in R.mp4
35.54MB
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5. Multiple Linear Regression/8. Multiple Linear Regression Intuition - Step 5.vtt
21.06KB
5. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.mp4
39.56MB
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5. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.vtt
21.52KB
6. Polynomial Regression/1. Polynomial Regression Intuition.mp4
9.44MB
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7.07KB
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4
43.31MB
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27.44KB
6. Polynomial Regression/11. Polynomial Regression in R - Step 4.mp4
22.34MB
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6. Polynomial Regression/11. Polynomial Regression in R - Step 4.vtt
22.36MB
6. Polynomial Regression/12. R Regression Template.mp4
25.41MB
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6. Polynomial Regression/12. R Regression Template.vtt
16.72KB
6. Polynomial Regression/2. How to get the dataset.mp4
11.71MB
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6. Polynomial Regression/2. How to get the dataset.vtt
4.23KB
6. Polynomial Regression/3. Polynomial Regression in Python - Step 1.mp4
24.89MB
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6. Polynomial Regression/3. Polynomial Regression in Python - Step 1.vtt
15.69KB
6. Polynomial Regression/4. Polynomial Regression in Python - Step 2.mp4
27.1MB
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6. Polynomial Regression/4. Polynomial Regression in Python - Step 2.vtt
15.33KB
6. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4
42.98MB
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6. Polynomial Regression/5. Polynomial Regression in Python - Step 3.vtt
42.99MB
6. Polynomial Regression/6. Polynomial Regression in Python - Step 4.mp4
13.5MB
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6. Polynomial Regression/6. Polynomial Regression in Python - Step 4.vtt
13.52MB
6. Polynomial Regression/7. Python Regression Template.mp4
27.43MB
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6. Polynomial Regression/7. Python Regression Template.vtt
14.67KB
6. Polynomial Regression/8. Polynomial Regression in R - Step 1.mp4
17.78MB
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6. Polynomial Regression/8. Polynomial Regression in R - Step 1.vtt
12.66KB
6. Polynomial Regression/9. Polynomial Regression in R - Step 2.mp4
23.87MB
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6. Polynomial Regression/9. Polynomial Regression in R - Step 2.vtt
13.72KB
7. Support Vector Regression (SVR)/1. How to get the dataset.mp4
11.71MB
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7. Support Vector Regression (SVR)/1. How to get the dataset.vtt
4.23KB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4
46.59MB
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7. Support Vector Regression (SVR)/2. SVR Intuition.vtt
10.11KB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4
46.18MB
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7. Support Vector Regression (SVR)/3. SVR in Python.vtt
27.45KB
7. Support Vector Regression (SVR)/4. SVR in R.mp4
25.87MB
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7. Support Vector Regression (SVR)/4. SVR in R.vtt
16.61KB
8. Decision Tree Regression/1. Decision Tree Regression Intuition.mp4
22.69MB
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8. Decision Tree Regression/1. Decision Tree Regression Intuition.vtt
15.25KB
8. Decision Tree Regression/2. How to get the dataset.mp4
11.71MB
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8. Decision Tree Regression/2. How to get the dataset.vtt
4.23KB
8. Decision Tree Regression/3. Decision Tree Regression in Python.mp4
33.54MB
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8. Decision Tree Regression/3. Decision Tree Regression in Python.vtt
21.13KB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4
44.37MB
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8. Decision Tree Regression/4. Decision Tree Regression in R.vtt
28.54KB
9. Random Forest Regression/1. Random Forest Regression Intuition.mp4
13.82MB
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9. Random Forest Regression/1. Random Forest Regression Intuition.vtt
9.29KB
9. Random Forest Regression/2. How to get the dataset.mp4
11.72MB
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9. Random Forest Regression/2. How to get the dataset.vtt
4.23KB
9. Random Forest Regression/3. Random Forest Regression in Python.mp4
39.47MB
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9. Random Forest Regression/3. Random Forest Regression in Python.vtt
24.45KB
9. Random Forest Regression/4. Random Forest Regression in R.mp4
40.34MB
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9. Random Forest Regression/4. Random Forest Regression in R.vtt
25.1KB

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