Resources

Resources

Python

• Python 3 Programming Specialization
• Kaggle courses
• Python for Data Science and Machine Learning Bootcamp
• Fundamentals of Computing Specialization
• Python for Everybody Specialization
• Applied Data Science with Python Specialization

R

• Data Science Specialization
• DataCamp

Visualization

• From Data to Viz
• Data Visualization Society
• Makeover Monday
• Seaborn
• Bokeh
• Matplotlib
• Plotly

Books

• Introduction to Machine Learning with Python by Andreas Muller and Sarah Guido
  • Andreas’ github page
• Applied Predictive Modeling by Max Kuhn and Kjell Johnson
• Aurelien Geron
  • Hands-On Machine Learning with Scikit-Learn & TensorFlow
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
• Chris Albon
  • Machine Learning with Python Cookbook
  • Chris’ website
  • He was also part of the podcast Partially Derivative (see Podcast section)
• Python Data Science Handbook by Jake VanderPlas
• Data Science for Business by Foster Provost and Tom Fawcett
• Data Smart by John Foreman
• An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
• The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Blogs

• James Clear
• Machine Learning Mastery website
• towards data science

Websites

• fivethirtyeight
• Scikit-Learn

Podcasts

• Data Skeptic
• Linear Digressions
• Partially Derivative: ended in 2017, but old episodes are still informative
• Data & Society
• Not So Standard Deviations
• Machine Learning Guide

Datasets

• UCI Machine Learning Repository
• Kaggle
• openml
• Scikit-learn datasets
• data.world
• Earthdata
• US government