02450 - Introduction to Machine Learning and Data Mining

Contains a lot of machine learning methods for preprocessing data, splitting into test and training sets evaluate the result etc.

In order to run the code you need:

• python 2.7 or 3.x

Brief overview of content

Tags: Machine learning, supervised learning, Libraries: sklearn, numpy, scipy, graphviz, io, re, pandas, matplotlib ..

Areas: Principal Component Analysis, Classification, Summary Statistics, Cross-validation, One-out-of-K coding, Probability, K Nearest Neigbors, Decision Trees, Attributes, Performance Evaluation, Visualization