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Title: GitHub - rasbt/pattern_classification: A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

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https://github.com/rasbt/pattern_classification#sections
Introduction to Machine Learning and Pattern Classificationhttps://github.com/rasbt/pattern_classification#introduction-to-machine-learning-and-pattern-classification
Pre-Processinghttps://github.com/rasbt/pattern_classification#pre-processing
Model Evaluationhttps://github.com/rasbt/pattern_classification#model-evaluation
Parameter Estimationhttps://github.com/rasbt/pattern_classification#parameter-estimation
Machine Learning Algorithmshttps://github.com/rasbt/pattern_classification#machine-learning-algorithms
Bayes Classificationhttps://github.com/rasbt/pattern_classification#bayes-classification
Logistic Regressionhttps://github.com/rasbt/pattern_classification#logistic-regression
Neural Networkshttps://github.com/rasbt/pattern_classification#neural-networks
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Clusteringhttps://github.com/rasbt/pattern_classification#clustering
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https://github.com/rasbt/pattern_classification/blob/master/Images/supervised_learning_flowchart.png
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https://github.com/rasbt/pattern_classification#introduction-to-machine-learning-and-pattern-classification
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https://github.com/rasbt/pattern_classification#talks
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https://github.com/rasbt/pattern_classification#an-introduction-to-supervised-machine-learning-and-pattern-classification-the-big-picture
http://www.slideshare.net/SebastianRaschka/nextgen-talk-022015
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https://github.com/rasbt/pattern_classification#mlxtend---a-library-of-extension-and-helper-modules-for-pythons-data-analysis-and-machine-learning-libraries
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