Setup your tools

We will be using Python tool (IPython, scikit-learn and matplotlib) for development and git for version control.

It is highly recommemended that you switch to a ubuntu/mac system

• Download and install Anaconda
• Github windows client. ubutnu users should have git installed by default, if not use your system's package manager (apt-get, homebrew for mac users)

Learn and Practice git

• Complete the exercise https://github.com/AGV-IIT-KGP/git-sandbox, instructions and resources are given in the readme.

Learn Python

• Think Python: How to Think Like a Computer Scientist, HTML and PDF versions are available for free on its website. Reading the first 30 pages should be enough to get you going.

Learn Machine Learning (theory)

• Machine Learning Foundations: A Case Study Approach
• Learning from Data: Caltech
• Machine Learning: Coursera: Andrew Ng

Learn Machine Learning (practice)

• SciKit-Learn Tutorial

Exploratory Data Analysis

• Think Stats

Baysian Statistics

• Think Bayes
• Bayesian Methods for Hackers

Other Resources

• Awesome Machine Learning List of Machine learning libraries and frameworks.
• Awesome Public Datasets
• Data Science IPython Notebooks

Everybody need not learn everything rather is it recommended that each one of you learn one (different) thing and learn it well.