What is it all about?
Simple and efficient tools for data mining and data analysis which is accessible to everybody, and reusable in various contexts.
Classification: Identifying to which category an object belongs to. Regression: Predicting a continuous-valued attribute associated with an object. Clustering: Automatic grouping of similar objects into sets. Dimensionality Reduction: Reducing the number of random variables to consider. Model Selection: Comparing, validating and choosing parameters and models. Preprocessing: Feature extraction and normalization.