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Comprehensive Repository of Data Science and ML Resources

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Article originally posted on Data Science Central. Visit Data Science Central

Here are 29 resources, mostly in the form of tutorials, covering most important topics in data science: This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, sign up on DSC.

Comprehensive Repository of Data Science and ML Resources

This list is broken down in sub-categories.

1. Algorithms

2. General

3. Languages and Platforms

4. Techniques

Source for picture: click here

DSC Resources

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