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- 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
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- 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
- 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.0 MB
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- 9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
- 2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
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- 9. Appendix/11. What order should I take your courses in (part 1).mp4 30.7 MB
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- 9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
- 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
- 10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
- 9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
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- 2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
- 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
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- 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
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- 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
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- [TutsNode.com] - Supervised Learning Essential Training/01 Supervised machine learning and the technology boom.mp4 23.9 MB
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- [TutsNode.com] - Supervised Learning Essential Training/17 Analyzing decision tree performance.mp4 17.3 MB
- [TutsNode.com] - Supervised Learning Essential Training/08 Steps to prepare data for modeling.mp4 12.8 MB
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- [TutsNode.com] - Supervised Learning Essential Training/23 Deciphering KNN model metrics.mp4 11.7 MB
- [TutsNode.com] - Supervised Learning Essential Training/14 Splitting data and limiting decision tree depth.mp4 11.2 MB
- [TutsNode.com] - Supervised Learning Essential Training/11 Creating a logistic regression model.mp4 10.9 MB
- [TutsNode.com] - Supervised Learning Essential Training/24 Searching for the best model.mp4 9.7 MB
- [TutsNode.com] - Supervised Learning Essential Training/28 Assembling your neural networks.mp4 9.3 MB
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- [TutsNode.com] - Supervised Learning Essential Training/07 Defining logistic and linear regression.mp4 7.8 MB
- [TutsNode.com] - Supervised Learning Essential Training/19 Discovering your k-nearest neighbors.mp4 7.5 MB
- [TutsNode.com] - Supervised Learning Essential Training/16 Creating your first decision trees.mp4 7.5 MB
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- 9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
- 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
- 9. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt 74.6 MB
- 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
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- 9. Appendix FAQ/12. What order should I take your courses in (part 2).srt 39.5 MB
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- 2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
- 2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt 34.0 MB
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- 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
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- 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
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- 9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
- 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
- 9. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt 74.6 MB
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- 2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
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