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3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
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4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
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1 - Introduction/1 - Introduction.mp4 73.3 MB
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5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
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[TutsNode.com] - Supervised Learning Essential Training/22 Building your own KNN.mp4 20.7 MB
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[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
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[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/04 What is supervised learning.mp4 8.3 MB
[TutsNode.com] - Supervised Learning Essential Training/30 Ethical overview.mp4 7.9 MB
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~Get Your Files Here !/17. Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.8 MB
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09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
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03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
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