Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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1. Welcome to the course!
1. Applications of Machine Learning.mp4
MP4
7.99 MB
1. Applications of Machine Learning.srt
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5.3 KB
10. Installing R and R Studio (Mac, Linux & Windows).mp4
MP4
17.56 MB
10. Installing R and R Studio (Mac, Linux & Windows).srt
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9.15 KB
11. BONUS Meet your instructors.html
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1.04 KB
12. Some Additional Resources.html
HTML
551 B
13. FAQBot!.html
HTML
1.76 KB
2. BONUS Learning Paths.html
HTML
2.37 KB
3. Why Machine Learning is the Future.mp4
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12.81 MB
3. Why Machine Learning is the Future.srt
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9.23 KB
4. Important notes, tips & tricks for this course.html
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3.24 KB
5. This PDF resource will help you a lot.html
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1.49 KB
5.1 Machine_Learning_A_Z_Q_A.pdf.pdf
PDF
2.26 MB
6. The whole code folder of the course.html
HTML
1.02 KB
6.1 Machine_Learning_A-Z_New.zip.zip
ZIP
228.44 MB
7. Updates on Udemy Reviews.mp4
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52.91 MB
7. Updates on Udemy Reviews.srt
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4.04 KB
8. Installing Python and Anaconda (Mac, Linux & Windows).mp4
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19.52 MB
8. Installing Python and Anaconda (Mac, Linux & Windows).srt
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12.3 KB
9. Update Recommended Anaconda Version.html
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1.32 KB
10. Evaluating Regression Models Performance
1. R-Squared Intuition.mp4
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8.85 MB
1. R-Squared Intuition.srt
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7.17 KB
2. Adjusted R-Squared Intuition.mp4
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19.28 MB
2. Adjusted R-Squared Intuition.srt
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14.45 KB
3. Evaluating Regression Models Performance - Homework's Final Part.mp4
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21.9 MB
3. Evaluating Regression Models Performance - Homework's Final Part.srt
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12.93 KB
4. Interpreting Linear Regression Coefficients.mp4
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24.21 MB
4. Interpreting Linear Regression Coefficients.srt
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13.32 KB
5. Conclusion of Part 2 - Regression.html
HTML
2.91 KB
11. -------------------- Part 3 Classification --------------------
1. Welcome to Part 3 - Classification.html
HTML
831 B
12. Logistic Regression
1. Logistic Regression Intuition.mp4
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29.18 MB
1. Logistic Regression Intuition.srt
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23.94 KB
10. Logistic Regression in R - Step 2.mp4
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7.85 MB
10. Logistic Regression in R - Step 2.srt
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4.35 KB
11. Logistic Regression in R - Step 3.mp4
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14.6 MB
11. Logistic Regression in R - Step 3.srt
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7.42 KB
12. Logistic Regression in R - Step 4.mp4
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6.9 MB
12. Logistic Regression in R - Step 4.srt
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3.98 KB
13. Logistic Regression in R - Step 5.mp4
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51.68 MB
13. Logistic Regression in R - Step 5.srt
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29.1 KB
14. R Classification Template.mp4
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12.47 MB
14. R Classification Template.srt
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6.7 KB
15. Logistic Regression.html
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125 B
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. Logistic Regression in Python - Step 1.mp4
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12.94 MB
3. Logistic Regression in Python - Step 1.srt
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8.76 KB
4. Logistic Regression in Python - Step 2.mp4
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8.24 MB
4. Logistic Regression in Python - Step 2.srt
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4.92 KB
5. Logistic Regression in Python - Step 3.mp4
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5.97 MB
5. Logistic Regression in Python - Step 3.srt
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4.1 KB
6. Logistic Regression in Python - Step 4.mp4
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10.37 MB
6. Logistic Regression in Python - Step 4.srt
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7.16 KB
7. Logistic Regression in Python - Step 5.mp4
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42.55 MB
7. Logistic Regression in Python - Step 5.srt
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29.7 KB
8. Python Classification Template.mp4
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12.07 MB
8. Python Classification Template.srt
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6.07 KB
9. Logistic Regression in R - Step 1.mp4
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12.59 MB
9. Logistic Regression in R - Step 1.srt
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8.92 KB
13. K-Nearest Neighbors (K-NN)
1. K-Nearest Neighbor Intuition.mp4
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9.27 MB
1. K-Nearest Neighbor Intuition.srt
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8.04 KB
2. How to get the dataset.mp4
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11.72 MB
2. How to get the dataset.srt
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4.76 KB
3. K-NN in Python.mp4
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35.22 MB
3. K-NN in Python.srt
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21.23 KB
4. K-NN in R.mp4
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41.37 MB
4. K-NN in R.srt
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23.37 KB
5. K-Nearest Neighbor.html
HTML
125 B
14. Support Vector Machine (SVM)
1. SVM Intuition.mp4
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18.01 MB
1. SVM Intuition.srt
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15.72 KB
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. SVM in Python.mp4
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31.17 MB
3. SVM in Python.srt
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19.15 KB
4. SVM in R.mp4
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32.26 MB
4. SVM in R.srt
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18.4 KB
4.1 SVM.zip.zip
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8.27 KB
15. Kernel SVM
1. Kernel SVM Intuition.mp4
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5.79 MB
1. Kernel SVM Intuition.srt
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4.41 KB
2. Mapping to a higher dimension.mp4
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13.75 MB
2. Mapping to a higher dimension.srt
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10.54 KB
3. The Kernel Trick.mp4
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29.28 MB
3. The Kernel Trick.srt
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4. Types of Kernel Functions.mp4
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12.3 MB
4. Types of Kernel Functions.srt
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5. How to get the dataset.mp4
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11.71 MB
5. How to get the dataset.srt
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4.76 KB
6. Kernel SVM in Python.mp4
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41.62 MB
6. Kernel SVM in Python.srt
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28.24 KB
7. Kernel SVM in R.mp4
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40.45 MB
7. Kernel SVM in R.srt
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25.44 KB
16. Naive Bayes
1. Bayes Theorem.mp4
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43.9 MB
1. Bayes Theorem.srt
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2. Naive Bayes Intuition.mp4
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27.8 MB
2. Naive Bayes Intuition.srt
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3. Naive Bayes Intuition (Challenge Reveal).mp4
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13.28 MB
3. Naive Bayes Intuition (Challenge Reveal).srt
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4. Naive Bayes Intuition (Extras).mp4
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18.95 MB
4. Naive Bayes Intuition (Extras).srt
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5. How to get the dataset.mp4
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11.71 MB
5. How to get the dataset.srt
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4.76 KB
6. Naive Bayes in Python.mp4
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23.38 MB
6. Naive Bayes in Python.srt
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13.75 KB
7. Naive Bayes in R.mp4
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37.31 MB
7. Naive Bayes in R.srt
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21.9 KB
17. Decision Tree Classification
1. Decision Tree Classification Intuition.mp4
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18.79 MB
1. Decision Tree Classification Intuition.srt
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12.87 KB
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. Decision Tree Classification in Python.mp4
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29.81 MB
3. Decision Tree Classification in Python.srt
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19.43 KB
4. Decision Tree Classification in R.mp4
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51.18 MB
4. Decision Tree Classification in R.srt
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29.14 KB
18. Random Forest Classification
1. Random Forest Classification Intuition.mp4
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19.43 MB
1. Random Forest Classification Intuition.srt
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7.05 KB
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. Random Forest Classification in Python.mp4
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47.16 MB
3. Random Forest Classification in Python.srt
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30.73 KB
4. Random Forest Classification in R.mp4
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49.39 MB
4. Random Forest Classification in R.srt
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32.4 KB
19. Evaluating Classification Models Performance
1. False Positives & False Negatives.mp4
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13.65 MB
1. False Positives & False Negatives.srt
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11.29 KB
2. Confusion Matrix.mp4
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8.22 MB
2. Confusion Matrix.srt
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7.51 KB
3. Accuracy Paradox.mp4
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3.8 MB
3. Accuracy Paradox.srt
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4. CAP Curve.mp4
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18.68 MB
4. CAP Curve.srt
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5. CAP Curve Analysis.mp4
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11.52 MB
5. CAP Curve Analysis.srt
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9.24 KB
6. Conclusion of Part 3 - Classification.html
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3.47 KB
2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.mp4
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2.98 MB
1. Welcome to Part 1 - Data Preprocessing.srt
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2.52 KB
10. Feature Scaling.mp4
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34.63 MB
10. Feature Scaling.srt
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23.47 KB
11. And here is our Data Preprocessing Template!.mp4
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19.67 MB
11. And here is our Data Preprocessing Template!.srt
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14.15 KB
12. Data Preprocessing.html
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125 B
2. Get the dataset.mp4
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21.16 MB
2. Get the dataset.srt
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10.69 KB
3. Importing the Libraries.mp4
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11.07 MB
3. Importing the Libraries.srt
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8.06 KB
4. Importing the Dataset.mp4
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23.32 MB
4. Importing the Dataset.srt
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18.66 KB
5. For Python learners, summary of Object-oriented programming classes & objects.html
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1.58 KB
6. Missing Data.mp4
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32.17 MB
6. Missing Data.srt
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22.67 KB
7. Categorical Data.mp4
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40.79 MB
7. Categorical Data.srt
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27.01 KB
8. WARNING - Update.html
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2.86 KB
9. Splitting the Dataset into the Training set and Test set.mp4
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39.04 MB
9. Splitting the Dataset into the Training set and Test set.srt
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26.91 KB
20. -------------------- Part 4 Clustering --------------------
1. Welcome to Part 4 - Clustering.html
HTML
734 B
21. K-Means Clustering
1. K-Means Clustering Intuition.mp4
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26.86 MB
1. K-Means Clustering Intuition.srt
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23.34 KB
2. K-Means Random Initialization Trap.mp4
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15.36 MB
2. K-Means Random Initialization Trap.srt
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12.95 KB
3. K-Means Selecting The Number Of Clusters.mp4
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23.14 MB
3. K-Means Selecting The Number Of Clusters.srt
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18.46 KB
4. How to get the dataset.mp4
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11.71 MB
4. How to get the dataset.srt
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4.76 KB
5. K-Means Clustering in Python.mp4
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39.77 MB
5. K-Means Clustering in Python.srt
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28.23 KB
6. K-Means Clustering in R.mp4
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28.99 MB
6. K-Means Clustering in R.srt
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19.44 KB
7. K-Means Clustering.html
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125 B
22. Hierarchical Clustering
1. Hierarchical Clustering Intuition.mp4
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16.52 MB
1. Hierarchical Clustering Intuition.srt
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14.59 KB
10. HC in R - Step 1.mp4
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7.38 MB
10. HC in R - Step 1.srt
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6.35 KB
11. HC in R - Step 2.mp4
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11.15 MB
11. HC in R - Step 2.srt
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8.14 KB
12. HC in R - Step 3.mp4
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7.81 MB
12. HC in R - Step 3.srt
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4.73 KB
13. HC in R - Step 4.mp4
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7.45 MB
13. HC in R - Step 4.srt
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3.83 KB
14. HC in R - Step 5.mp4
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6.88 MB
14. HC in R - Step 5.srt
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4.03 KB
15. Hierarchical Clustering.html
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125 B
16. Conclusion of Part 4 - Clustering.html
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516 B
16.1 Clustering-Pros-Cons.pdf.pdf
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25.76 KB
2. Hierarchical Clustering How Dendrograms Work.mp4
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17.46 MB
2. Hierarchical Clustering How Dendrograms Work.srt
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14.35 KB
3. Hierarchical Clustering Using Dendrograms.mp4
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22.82 MB
3. Hierarchical Clustering Using Dendrograms.srt
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17.6 KB
4. How to get the dataset.mp4
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11.71 MB
4. How to get the dataset.srt
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4.76 KB
5. HC in Python - Step 1.mp4
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10.72 MB
5. HC in Python - Step 1.srt
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7.59 KB
6. HC in Python - Step 2.mp4
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12.65 MB
6. HC in Python - Step 2.srt
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9.51 KB
7. HC in Python - Step 3.mp4
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12.31 MB
7. HC in Python - Step 3.srt
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7.72 KB
8. HC in Python - Step 4.mp4
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12.03 MB
8. HC in Python - Step 4.srt
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6.46 KB
9. HC in Python - Step 5.mp4
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8.39 MB
9. HC in Python - Step 5.srt
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6.79 KB
23. -------------------- Part 5 Association Rule Learning --------------------
1. Welcome to Part 5 - Association Rule Learning.html
HTML
425 B
24. Apriori
1. Apriori Intuition.mp4
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35.02 MB
1. Apriori Intuition.srt
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25.91 KB
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. Apriori in R - Step 1.mp4
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42.87 MB
3. Apriori in R - Step 1.srt
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31.05 KB
4. Apriori in R - Step 2.mp4
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30.51 MB
4. Apriori in R - Step 2.srt
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23.02 KB
5. Apriori in R - Step 3.mp4
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43.84 MB
5. Apriori in R - Step 3.srt
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31.16 KB
6. Apriori in Python - Step 1.mp4
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37.98 MB
6. Apriori in Python - Step 1.srt
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27.96 KB
7. Apriori in Python - Step 2.mp4
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29.52 MB
7. Apriori in Python - Step 2.srt
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8. Apriori in Python - Step 3.mp4
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26.96 MB
8. Apriori in Python - Step 3.srt
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19.6 KB
25. Eclat
1. Eclat Intuition.mp4
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10.65 MB
1. Eclat Intuition.srt
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8.1 KB
2. How to get the dataset.mp4
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11.71 MB
2. How to get the dataset.srt
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4.76 KB
3. Eclat in R.mp4
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20.68 MB
3. Eclat in R.srt
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15.79 KB
3.1 Eclat.zip.zip
ZIP
48.54 KB
26. -------------------- Part 6 Reinforcement Learning --------------------
1. Welcome to Part 6 - Reinforcement Learning.html
HTML
804 B
27. Upper Confidence Bound (UCB)
1. The Multi-Armed Bandit Problem.mp4
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30.19 MB
1. The Multi-Armed Bandit Problem.srt
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22.27 KB
10. Upper Confidence Bound in R - Step 3.mp4
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47.2 MB
10. Upper Confidence Bound in R - Step 3.srt
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11. Upper Confidence Bound in R - Step 4.mp4
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7.4 MB
11. Upper Confidence Bound in R - Step 4.srt
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2. Upper Confidence Bound (UCB) Intuition.mp4
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29.32 MB
2. Upper Confidence Bound (UCB) Intuition.srt
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21.92 KB
3. How to get the dataset.mp4
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11.71 MB
3. How to get the dataset.srt
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4.76 KB
4. Upper Confidence Bound in Python - Step 1.mp4
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31.54 MB
4. Upper Confidence Bound in Python - Step 1.srt
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5. Upper Confidence Bound in Python - Step 2.mp4
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35.44 MB
5. Upper Confidence Bound in Python - Step 2.srt
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6. Upper Confidence Bound in Python - Step 3.mp4
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6. Upper Confidence Bound in Python - Step 3.srt
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7. Upper Confidence Bound in Python - Step 4.mp4
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9.13 MB
7. Upper Confidence Bound in Python - Step 4.srt
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8. Upper Confidence Bound in R - Step 1.mp4
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28.05 MB
8. Upper Confidence Bound in R - Step 1.srt
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9. Upper Confidence Bound in R - Step 2.mp4
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29.01 MB
9. Upper Confidence Bound in R - Step 2.srt
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28. Thompson Sampling
1. Thompson Sampling Intuition.mp4
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37.27 MB
1. Thompson Sampling Intuition.srt
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2. Algorithm Comparison UCB vs Thompson Sampling.mp4
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14.09 MB
2. Algorithm Comparison UCB vs Thompson Sampling.srt
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3. How to get the dataset.mp4
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11.71 MB
3. How to get the dataset.srt
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4.76 KB
4. Thompson Sampling in Python - Step 1.mp4
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43.13 MB
4. Thompson Sampling in Python - Step 1.srt
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5. Thompson Sampling in Python - Step 2.mp4
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8.41 MB
5. Thompson Sampling in Python - Step 2.srt
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6. Thompson Sampling in R - Step 1.mp4
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40.93 MB
6. Thompson Sampling in R - Step 1.srt
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7. Thompson Sampling in R - Step 2.mp4
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7.47 MB
7. Thompson Sampling in R - Step 2.srt
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29. -------------------- Part 7 Natural Language Processing --------------------
1. Welcome to Part 7 - Natural Language Processing.html
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1.69 KB
10. Natural Language Processing in Python - Step 7.mp4
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10. Natural Language Processing in Python - Step 7.srt
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11. Natural Language Processing in Python - Step 8.mp4
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11. Natural Language Processing in Python - Step 8.srt
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12. Natural Language Processing in Python - Step 9.mp4
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12. Natural Language Processing in Python - Step 9.srt
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13. Natural Language Processing in Python - Step 10.mp4
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24.13 MB
13. Natural Language Processing in Python - Step 10.srt
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14. Homework Challenge.html
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1.37 KB
15. Natural Language Processing in R - Step 1.mp4
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40.37 MB
15. Natural Language Processing in R - Step 1.srt
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16. Natural Language Processing in R - Step 2.mp4
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17.47 MB
16. Natural Language Processing in R - Step 2.srt
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17. Natural Language Processing in R - Step 3.mp4
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13.52 MB
17. Natural Language Processing in R - Step 3.srt
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18. Natural Language Processing in R - Step 4.mp4
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6.5 MB
18. Natural Language Processing in R - Step 4.srt
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19. Natural Language Processing in R - Step 5.mp4
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4.57 MB
19. Natural Language Processing in R - Step 5.srt
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2. Natural Language Processing Intuition.mp4
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29.69 MB
2. Natural Language Processing Intuition.srt
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20. Natural Language Processing in R - Step 6.mp4
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12.74 MB
20. Natural Language Processing in R - Step 6.srt
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21. Natural Language Processing in R - Step 7.mp4
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21. Natural Language Processing in R - Step 7.srt
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22. Natural Language Processing in R - Step 8.mp4
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13.27 MB
22. Natural Language Processing in R - Step 8.srt
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23. Natural Language Processing in R - Step 9.mp4
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29 MB
23. Natural Language Processing in R - Step 9.srt
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24. Natural Language Processing in R - Step 10.mp4
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41.19 MB
24. Natural Language Processing in R - Step 10.srt
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25. Homework Challenge.html
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1.4 KB
3. How to get the dataset.mp4
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11.71 MB
3. How to get the dataset.srt
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4. Natural Language Processing in Python - Step 1.mp4
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35.2 MB
4. Natural Language Processing in Python - Step 1.srt
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5. Natural Language Processing in Python - Step 2.mp4
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21.96 MB
5. Natural Language Processing in Python - Step 2.srt
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6. Natural Language Processing in Python - Step 3.mp4
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3.38 MB
6. Natural Language Processing in Python - Step 3.srt
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7. Natural Language Processing in Python - Step 4.mp4
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7. Natural Language Processing in Python - Step 4.srt
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8. Natural Language Processing in Python - Step 5.mp4
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8. Natural Language Processing in Python - Step 5.srt
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9. Natural Language Processing in Python - Step 6.mp4
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9. Natural Language Processing in Python - Step 6.srt
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3. -------------------- Part 2 Regression --------------------
1. Welcome to Part 2 - Regression.html
HTML
875 B
30. -------------------- Part 8 Deep Learning --------------------
1. Welcome to Part 8 - Deep Learning.html
HTML
870 B
2. What is Deep Learning.mp4
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31.31 MB
2. What is Deep Learning.srt
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31. Artificial Neural Networks
1. Plan of attack.mp4
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4.74 MB
1. Plan of attack.srt
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10. Business Problem Description.mp4
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16.37 MB
10. Business Problem Description.srt
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11. Installing Keras.html
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1.42 KB
12. ANN in Python - Step 1.mp4
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29.31 MB
12. ANN in Python - Step 1.srt
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20.01 KB
13. ANN in Python - Step 2.mp4
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48.1 MB
13. ANN in Python - Step 2.srt
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14. ANN in Python - Step 3.mp4
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8.37 MB
14. ANN in Python - Step 3.srt
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15. ANN in Python - Step 4.mp4
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5.88 MB
15. ANN in Python - Step 4.srt
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16. ANN in Python - Step 5.mp4
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16. ANN in Python - Step 5.srt
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17. ANN in Python - Step 6.mp4
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17. ANN in Python - Step 6.srt
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18. ANN in Python - Step 7.mp4
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18. ANN in Python - Step 7.srt
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19. ANN in Python - Step 8.mp4
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19. ANN in Python - Step 8.srt
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2. The Neuron.mp4
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2. The Neuron.srt
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20. ANN in Python - Step 9.mp4
MP4
16.89 MB
20. ANN in Python - Step 9.srt
SRT
9.51 KB
21. ANN in Python - Step 10.mp4
MP4
17.09 MB
21. ANN in Python - Step 10.srt
SRT
10.35 KB
22. ANN in R - Step 1.mp4
MP4
38.56 MB
22. ANN in R - Step 1.srt
SRT
26.79 KB
23. ANN in R - Step 2.mp4
MP4
14.18 MB
23. ANN in R - Step 2.srt
SRT
10.12 KB
24. ANN in R - Step 3.mp4
MP4
28.95 MB
24. ANN in R - Step 3.srt
SRT
18.88 KB
25. ANN in R - Step 4 (Last step).mp4
MP4
33.45 MB
25. ANN in R - Step 4 (Last step).srt
SRT
20.68 KB
3. The Activation Function.mp4
MP4
14.76 MB
3. The Activation Function.srt
SRT
12.03 KB
4. How do Neural Networks work.mp4
MP4
23.54 MB
4. How do Neural Networks work.srt
SRT
19.11 KB
5. How do Neural Networks learn.mp4
MP4
26.55 MB
5. How do Neural Networks learn.srt
SRT
18.95 KB
6. Gradient Descent.mp4
MP4
18.54 MB
6. Gradient Descent.srt
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14.02 KB
7. Stochastic Gradient Descent.mp4
MP4
16.82 MB
7. Stochastic Gradient Descent.srt
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12.14 KB
8. Backpropagation.mp4
MP4
10.92 MB
8. Backpropagation.srt
SRT
7.11 KB
9. How to get the dataset.mp4
MP4
11.71 MB
9. How to get the dataset.srt
SRT
4.76 KB
32. Convolutional Neural Networks
1. Plan of attack.mp4
MP4
5.9 MB
1. Plan of attack.srt
SRT
5.24 KB
10. How to get the dataset.mp4
MP4
11.71 MB
10. How to get the dataset.srt
SRT
4.76 KB
11. Installing Keras.html
HTML
927 B
12. CNN in Python - Step 1.mp4
MP4
24.92 MB
12. CNN in Python - Step 1.srt
SRT
18.37 KB
13. CNN in Python - Step 2.mp4
MP4
5.85 MB
13. CNN in Python - Step 2.srt
SRT
4.46 KB
14. CNN in Python - Step 3.mp4
MP4
2.22 MB
14. CNN in Python - Step 3.srt
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1.71 KB
15. CNN in Python - Step 4.mp4
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27.18 MB
15. CNN in Python - Step 4.srt
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19.28 KB
16. CNN in Python - Step 5.mp4
MP4
9.91 MB
16. CNN in Python - Step 5.srt
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7.48 KB
17. CNN in Python - Step 6.mp4
MP4
9.7 MB
17. CNN in Python - Step 6.srt
SRT
7.6 KB
18. CNN in Python - Step 7.mp4
MP4
12.93 MB
18. CNN in Python - Step 7.srt
SRT
9.12 KB
19. CNN in Python - Step 8.mp4
MP4
6.79 MB
19. CNN in Python - Step 8.srt
SRT
4.57 KB
2. What are convolutional neural networks.mp4
MP4
29.51 MB
2. What are convolutional neural networks.srt
SRT
22.06 KB
20. CNN in Python - Step 9.mp4
MP4
46.85 MB
20. CNN in Python - Step 9.srt
SRT
29.38 KB
21. CNN in Python - Step 10.mp4
MP4
20.61 MB
21. CNN in Python - Step 10.srt
SRT
12.97 KB
22. CNN in R.html
HTML
2.38 KB
3. Step 1 - Convolution Operation.mp4
MP4
31.03 MB
3. Step 1 - Convolution Operation.srt
SRT
23.23 KB
4. Step 1(b) - ReLU Layer.mp4
MP4
14.1 MB
4. Step 1(b) - ReLU Layer.srt
SRT
9.2 KB
5. Step 2 - Pooling.mp4
MP4
40.24 MB
5. Step 2 - Pooling.srt
SRT
21.04 KB
6. Step 3 - Flattening.mp4
MP4
3.27 MB
6. Step 3 - Flattening.srt
SRT
2.54 KB
7. Step 4 - Full Connection.mp4
MP4
42.75 MB
7. Step 4 - Full Connection.srt
SRT
28.57 KB
8. Summary.mp4
MP4
7.91 MB
8. Summary.srt
SRT
6.02 KB
9. Softmax & Cross-Entropy.mp4
MP4
33.23 MB
9. Softmax & Cross-Entropy.srt
SRT
25.27 KB
33. -------------------- Part 9 Dimensionality Reduction --------------------
1. Welcome to Part 9 - Dimensionality Reduction.html
HTML
1.26 KB
34. Principal Component Analysis (PCA)
1. Principal Component Analysis (PCA) Intuition.mp4
MP4
32.11 MB
1. Principal Component Analysis (PCA) Intuition.srt
SRT
5.05 KB
2. How to get the dataset.mp4
MP4
11.71 MB
2. How to get the dataset.srt
SRT
4.76 KB
3. PCA in Python - Step 1.mp4
MP4
31.96 MB
3. PCA in Python - Step 1.srt
SRT
17.66 KB
4. PCA in Python - Step 2.mp4
MP4
22.08 MB
4. PCA in Python - Step 2.srt
SRT
11.81 KB
5. PCA in Python - Step 3.mp4
MP4
25.51 MB
5. PCA in Python - Step 3.srt
SRT
14.81 KB
6. PCA in R - Step 1.mp4
MP4
30.66 MB
6. PCA in R - Step 1.srt
SRT
18.7 KB
7. PCA in R - Step 2.mp4
MP4
29.03 MB
7. PCA in R - Step 2.srt
SRT
16.89 KB
8. PCA in R - Step 3.mp4
MP4
36.74 MB
8. PCA in R - Step 3.srt
SRT
19.76 KB
35. Linear Discriminant Analysis (LDA)
1. Linear Discriminant Analysis (LDA) Intuition.mp4
MP4
26.98 MB
1. Linear Discriminant Analysis (LDA) Intuition.srt
SRT
5.11 KB
2. How to get the dataset.mp4
MP4
11.72 MB
2. How to get the dataset.srt
SRT
4.76 KB
3. LDA in Python.mp4
MP4
45.42 MB
3. LDA in Python.srt
SRT
26.5 KB
4. LDA in R.mp4
MP4
51.29 MB
4. LDA in R.srt
SRT
29.68 KB
36. Kernel PCA
1. How to get the dataset.mp4
MP4
11.72 MB
1. How to get the dataset.srt
SRT
4.76 KB
2. Kernel PCA in Python.mp4
MP4
33.38 MB
2. Kernel PCA in Python.srt
SRT
21.48 KB
3. Kernel PCA in R.mp4
MP4
56.57 MB
3. Kernel PCA in R.srt
SRT
30.81 KB
37. -------------------- Part 10 Model Selection & Boosting --------------------
1. Welcome to Part 10 - Model Selection & Boosting.html
HTML
899 B
38. Model Selection
1. How to get the dataset.mp4
MP4
11.71 MB
1. How to get the dataset.srt
SRT
4.76 KB
2. k-Fold Cross Validation in Python.mp4
MP4
32.83 MB
2. k-Fold Cross Validation in Python.srt
SRT
20.22 KB
3. k-Fold Cross Validation in R.mp4
MP4
43.63 MB
3. k-Fold Cross Validation in R.srt
SRT
27.91 KB
4. Grid Search in Python - Step 1.mp4
MP4
38.21 MB
4. Grid Search in Python - Step 1.srt
SRT
22.05 KB
5. Grid Search in Python - Step 2.mp4
MP4
29.52 MB
5. Grid Search in Python - Step 2.srt
SRT
15.32 KB
6. Grid Search in R.mp4
MP4
35.55 MB
6. Grid Search in R.srt
SRT
20.94 KB
39. XGBoost
1. How to get the dataset.mp4
MP4
11.71 MB
1. How to get the dataset.srt
SRT
4.76 KB
2. XGBoost in Python - Step 1.mp4
MP4
21.39 MB
2. XGBoost in Python - Step 1.srt
SRT
13.66 KB
3. XGBoost in Python - Step 2.mp4
MP4
31.97 MB
3. XGBoost in Python - Step 2.srt
SRT
18.89 KB
4. XGBoost in R.mp4
MP4
47.27 MB
4. XGBoost in R.srt
SRT
26 KB
5. THANK YOU bonus video.mp4
MP4
52.25 MB
5. THANK YOU bonus video.srt
SRT
2.31 KB
4. Simple Linear Regression
1. How to get the dataset.mp4
MP4
11.71 MB
1. How to get the dataset.srt
SRT
4.76 KB
10. Simple Linear Regression in R - Step 2.mp4
MP4
14.35 MB
10. Simple Linear Regression in R - Step 2.srt
SRT
8.89 KB
11. Simple Linear Regression in R - Step 3.mp4
MP4
8.63 MB
11. Simple Linear Regression in R - Step 3.srt
SRT
5.52 KB
12. Simple Linear Regression in R - Step 4.mp4
MP4
37.37 MB
12. Simple Linear Regression in R - Step 4.srt
SRT
23.94 KB
13. Simple Linear Regression.html
HTML
125 B
2. Dataset + Business Problem Description.mp4
MP4
6.62 MB
2. Dataset + Business Problem Description.srt
SRT
4.08 KB
3. Simple Linear Regression Intuition - Step 1.mp4
MP4
9.47 MB
3. Simple Linear Regression Intuition - Step 1.srt
SRT
8.3 KB
4. Simple Linear Regression Intuition - Step 2.mp4
MP4
5.37 MB
4. Simple Linear Regression Intuition - Step 2.srt
SRT
4.34 KB
5. Simple Linear Regression in Python - Step 1.mp4
MP4
21.72 MB
5. Simple Linear Regression in Python - Step 1.srt
SRT
15.46 KB
6. Simple Linear Regression in Python - Step 2.mp4
MP4
18.75 MB
6. Simple Linear Regression in Python - Step 2.srt
SRT
12.32 KB
7. Simple Linear Regression in Python - Step 3.mp4
MP4
15.61 MB
7. Simple Linear Regression in Python - Step 3.srt
SRT
9.84 KB
8. Simple Linear Regression in Python - Step 4.mp4
MP4
30.83 MB
8. Simple Linear Regression in Python - Step 4.srt
SRT
22.44 KB
9. Simple Linear Regression in R - Step 1.mp4
MP4
9.53 MB
9. Simple Linear Regression in R - Step 1.srt
SRT
7.71 KB
40. Bonus Lectures
1. YOUR SPECIAL BONUS.html
HTML
4.69 KB
5. Multiple Linear Regression
1. How to get the dataset.mp4
MP4
11.71 MB
1. How to get the dataset.srt
SRT
4.76 KB
10. Multiple Linear Regression in Python - Step 2.mp4
MP4
7.22 MB
10. Multiple Linear Regression in Python - Step 2.srt
SRT
4.07 KB
11. Multiple Linear Regression in Python - Step 3.mp4
MP4
14.3 MB
11. Multiple Linear Regression in Python - Step 3.srt
SRT
8.27 KB
12. Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4
MP4
23.82 MB
12. Multiple Linear Regression in Python - Backward Elimination - Preparation.srt
SRT
14.93 KB
13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4
MP4
32.59 MB
13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.srt
SRT
19.68 KB
14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4
MP4
27.17 MB
14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.srt
SRT
14.17 KB
15. Multiple Linear Regression in Python - Automatic Backward Elimination.html
HTML
2.14 KB
16. Multiple Linear Regression in R - Step 1.mp4
MP4
17.94 MB
16. Multiple Linear Regression in R - Step 1.srt
SRT
11.85 KB
17. Multiple Linear Regression in R - Step 2.mp4
MP4
25.93 MB
17. Multiple Linear Regression in R - Step 2.srt
SRT
15.43 KB
18. Multiple Linear Regression in R - Step 3.mp4
MP4
10.41 MB
18. Multiple Linear Regression in R - Step 3.srt
SRT
7.06 KB
19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4
MP4
39.73 MB
19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.srt
SRT
27.48 KB
2. Dataset + Business Problem Description.mp4
MP4
9.98 MB
2. Dataset + Business Problem Description.srt
SRT
5.68 KB
20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4
MP4
17.24 MB
20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.srt
SRT
11.86 KB
21. Multiple Linear Regression in R - Automatic Backward Elimination.html
HTML
726 B
22. Multiple Linear Regression.html
HTML
125 B
3. Multiple Linear Regression Intuition - Step 1.mp4
MP4
1.82 MB
3. Multiple Linear Regression Intuition - Step 1.srt
SRT
1.58 KB
4. Multiple Linear Regression Intuition - Step 2.mp4
MP4
1.78 MB
4. Multiple Linear Regression Intuition - Step 2.srt
SRT
1.45 KB
5. Multiple Linear Regression Intuition - Step 3.mp4
MP4
14.29 MB
5. Multiple Linear Regression Intuition - Step 3.srt
SRT
10.7 KB
6. Multiple Linear Regression Intuition - Step 4.mp4
MP4
4.51 MB
6. Multiple Linear Regression Intuition - Step 4.srt
SRT
3.51 KB
7. Prerequisites What is the P-Value.html
HTML
676 B
8. Multiple Linear Regression Intuition - Step 5.mp4
MP4
28.84 MB
8. Multiple Linear Regression Intuition - Step 5.srt
SRT
23.56 KB
9. Multiple Linear Regression in Python - Step 1.mp4
MP4
39.57 MB
9. Multiple Linear Regression in Python - Step 1.srt
SRT
24.44 KB
6. Polynomial Regression
1. Polynomial Regression Intuition.mp4
MP4
9.44 MB
1. Polynomial Regression Intuition.srt
SRT
7.82 KB
10. Polynomial Regression in R - Step 3.mp4
MP4
43.31 MB
10. Polynomial Regression in R - Step 3.srt
SRT
30.86 KB
11. Polynomial Regression in R - Step 4.mp4
MP4
22.34 MB
11. Polynomial Regression in R - Step 4.srt
SRT
15.44 KB
12. R Regression Template.mp4
MP4
25.41 MB
12. R Regression Template.srt
SRT
18.63 KB
2. How to get the dataset.mp4
MP4
11.72 MB
2. How to get the dataset.srt
SRT
4.76 KB
3. Polynomial Regression in Python - Step 1.mp4
MP4
24.89 MB
3. Polynomial Regression in Python - Step 1.srt
SRT
17.5 KB
4. Polynomial Regression in Python - Step 2.mp4
MP4
27.11 MB
4. Polynomial Regression in Python - Step 2.srt
SRT
17.21 KB
5. Polynomial Regression in Python - Step 3.mp4
MP4
42.99 MB
5. Polynomial Regression in Python - Step 3.srt
SRT
31.4 KB
6. Polynomial Regression in Python - Step 4.mp4
MP4
13.51 MB
6. Polynomial Regression in Python - Step 4.srt
SRT
8.65 KB
7. Python Regression Template.mp4
MP4
27.43 MB
7. Python Regression Template.srt
SRT
16.38 KB
8. Polynomial Regression in R - Step 1.mp4
MP4
17.78 MB
8. Polynomial Regression in R - Step 1.srt
SRT
14.12 KB
9. Polynomial Regression in R - Step 2.mp4
MP4
23.87 MB
9. Polynomial Regression in R - Step 2.srt
SRT
15.27 KB
7. Support Vector Regression (SVR)
1. How to get the dataset.mp4
MP4
11.71 MB
1. How to get the dataset.srt
SRT
4.76 KB
2. SVR Intuition.mp4
MP4
46.6 MB
2. SVR Intuition.srt
SRT
11.36 KB
3. SVR in Python.mp4
MP4
46.19 MB
3. SVR in Python.srt
SRT
30.88 KB
4. SVR in R.mp4
MP4
25.87 MB
4. SVR in R.srt
SRT
18.7 KB
8. Decision Tree Regression
1. Decision Tree Regression Intuition.mp4
MP4
22.69 MB
1. Decision Tree Regression Intuition.srt
SRT
17.06 KB
2. How to get the dataset.mp4
MP4
11.71 MB
2. How to get the dataset.srt
SRT
4.76 KB
3. Decision Tree Regression in Python.mp4
MP4
33.54 MB
3. Decision Tree Regression in Python.srt
SRT
23.72 KB
4. Decision Tree Regression in R.mp4
MP4
44.37 MB
4. Decision Tree Regression in R.srt
SRT
32.15 KB
9. Random Forest Regression
1. Random Forest Regression Intuition.mp4
MP4
13.82 MB
1. Random Forest Regression Intuition.srt
SRT
10.22 KB
2. How to get the dataset.mp4
MP4
11.71 MB
2. How to get the dataset.srt
SRT
4.76 KB
3. Random Forest Regression in Python.mp4
MP4
39.47 MB
3. Random Forest Regression in Python.srt
SRT
27.53 KB
4. Random Forest Regression in R.mp4
MP4
40.34 MB
4. Random Forest Regression in R.srt
SRT
28.11 KB
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