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.
- python
- ipython notebook
- numpy
- scipy
- matplotlib
- scikit-learn
- Data Analysis:
- loading common data types (e.g.
.csv
) - statistics
- visualization
- fitting models to data
- Machine Learning:
- classification
- regression
- Jake VanderPlas' Scikit-learn Tutorial: https://github.com/jakevdp/sklearn_tutorial