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.