Data Analysis using Pandas

• Python Notebooks
  1. Basics of Pandas Part 1 (Download or )
  2. More with Pandas Part 2 (Download or )
  3. Data Analysis Using Pandas & Sklearn Part 3 (Download or )
  4. Customer Segmentation Using k-Means Cluster Part 4 (Download or )
• Data
  1. ETF (Download)
  2. Bank Customer (Download)
• Other Resources:
  1. Python Standard Library
  2. Python Style Guide
  3. Numpy User Guide
  4. Pandas
  5. Python Data Science Essential Training (login here for UofT free access)
  6. Linear Regression in Python
  7. Sklearn Quick Start Tutorial
  8. Sklearn User Guide
  Videos:
  9. PyCon 2014 Scikit-learn Tutorial by Jake VanderPlas (Github repo)
  Books:
  10. Python for Data Science Handbook
  11. Learning scikit-learn: Machine Learning in Python
  12. Hands-On Machine learning with Scikit-Learn and Tensorflow

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