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| 2. K-Fold Cross-Validation with Python.mp4 |
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| 2. K Means Clustering Algorithm with Python Part 1.mp4 |
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| 2. Treasure in The Kaggle.mp4 |
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| 3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 |
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| 3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 |
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| 3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 |
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| 3. Decision Tree Algorithm with Python Part 2.mp4 |
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| 3. Detecting Least Element of Numpy Array Min(), Ar.mp4 |
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| 3. Evaluating Performance Regression Error Metrics in Python.mp4 |
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| 3. Examining the Code Section in Kaggle Lesson 3.mp4 |
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| 3. Hierarchical Clustering Algorithm with Python Part 2.mp4 |
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| 3. Installing Anaconda Distribution for MacOs.mp4 |
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| 3. K Means Clustering Algorithm with Python Part 2.mp4 |
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| 3. K Nearest Neighbors Algorithm with Python Part 2.mp4 |
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| 3. Linear Regression Algorithm With Python Part 2.mp4 |
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| 4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 |
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| 4. Concatenating Numpy Arrays Concatenate() Function.mp4 |
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| 4. Hyperparameter Optimization (with GridSearchCV).mp4 |
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