2015 REUMass Amherst Data Science Bootcamp
Semester: Spring
Offered: 2015
This course is a short introduction to data science with a focus on machine learning and Python. It is offered as part of the 2015 REUMass Amherst Data Science summer program.
Day 1: Introduction
- Lecture Notes
- Python Scientific Notes
- SageMathCloud
- Python Distros (free Anaconda and Canopy distros are recommended)
- intro-day1.ipynb (direct download)
- exercises-day1.ipynb (direct download)
- intro-day1.ipynb (shared on SageMathCloud)
- exercises-day1.ipynb (shared on SageMathCloud)
Day 2: Introduction to Machine Learning and Research Methods
- Lecture Notes
- exercises-day2.ipynb (shared on SageMathCloud)
- exercises-day2.ipynb (direct download)
Day 3: Classification, Regression and Model Selection
- Lecture Notes
- exercises-day3.ipynb (shared on SageMathCloud)
Day 4: Unsupervised Learning
- Lecture Notes
- exercises-day4.ipynb (shared on SageMathCloud)
Day 5: Descriptive Statistics and Statistical Graphics
- exercises-day5.ipynb (shared on SageMathCloud)