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Parent Directory -
1.2 Course Resources.html 122
12. Download the Complete Notebook Here.html 242
13. Any Feedback on this Section.html 509
1. Set up the Testing Notebook.srt 3.8K
10. The F-score or F1 Metric.srt 4.5K
8. The Recall Metric.srt 6.5K
5. The Accuracy Metric.srt 7.7K
9. The Precision Metric.srt 9.5K
4. Making Predictions Comparing Joint Probabilities.srt 9.7K
3. Joint Conditional Probablity (Part 2) Priors.srt 11K
2. Joint Conditional Probability (Part 1) Dot Product.srt 13K
7. False Positive vs False Negatives.srt 13K
12.1 08 Naive Bayes with scikit-learn.ipynb.zip 13K
6. Visualising the Decision Boundary.srt 33K
11. A Naive Bayes Implementation using SciKit Learn.srt 34K
12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip 243K
1.1 SpamData.zip 23M
10. The F-score or F1 Metric.mp4 25M
1. Set up the Testing Notebook.mp4 26M
8. The Recall Metric.mp4 28M
5. The Accuracy Metric.mp4 41M
4. Making Predictions Comparing Joint Probabilities.mp4 52M
9. The Precision Metric.mp4 53M
7. False Positive vs False Negatives.mp4 63M
3. Joint Conditional Probablity (Part 2) Priors.mp4 64M
2. Joint Conditional Probability (Part 1) Dot Product.mp4 66M
11. A Naive Bayes Implementation using SciKit Learn.mp4 195M
6. Visualising the Decision Boundary.mp4 205M