Data Analysis and Machine Learning using Python

Tutorial files for the "Data Analysis and Machine Learning" workshop, presented by the IDEA Student Center (part of the Jacobs School of Engineering of UC San Diego).

NOTE: this workshop is meant as an introduction to data analysis and machine learning, and therefore does not cover everything related to those subjects.

Requirements

• python
• ipython notebook
• numpy
• scipy
• matplotlib
• scikit-learn

Outline

1. Data Analysis:

• loading common data types (e.g. .csv)
• statistics
• visualization
• fitting models to data

2. Machine Learning:

• classification
• regression

Other resources

• Jake VanderPlas' Scikit-learn Tutorial: https://github.com/jakevdp/sklearn_tutorial