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Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:

1. Loading data

2. Performing normalization and dimension reduction

3. Configuring cross-validation training and grid search for parameters

4. Evaluation models on different sets of data

5. Visualizing prediction result

Continue reading the article and source code here.