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The following are python, statistics, and machine learning drop-down guides for resources, to assist you during your data science journey for learning and creating projects. 👍

Looking for data? ❓ Open Data Sets here.

Looking for markdown? 📔 Markdown references here.

Looking for sample data sets to practice? 📁 Sample data set references here.

Looking for project guidelines? 📚 Project Guidelines here.

Statistics Resources 📋
  1. Intro to Stats Learning
  2. Fundamental Statistics
  3. Online Stats
  4. Practical Statistics
  5. Stats in Nutshell

Code Challenge Websites ❔
  1. Code Wars
  2. Hacker Rank
  3. Project Euler
  4. Hacker Earth
  5. Codin Game
  6. LeetCode
  7. CoderByte

Data Science Textbooks ✨
  1. Data Analysis and Github Repo
  2. Feature Engineering and Github Repo
  3. Machine Learning and Github Repo
  4. Python Data Science Handbook and Github Repo
  5. Introduction to ML/Deep Learning and Github Repo
  6. Deep Learning with Python and Github Repo
  7. Tensorflow Deep Learning Cookbook and Github Repo
  8. Image Processing - Python and Github Repo
  9. Deep Learning - Goodfellow and Resources
  10. Tableau - Big Book of Dashboards
  11. SQL Cookbook

Github Resources 🚫
  1. Software Carpentry
  2. Github Lab
  3. Toptal Git Tips
  4. Advanced Git
  5. Atlassian Version Control

Interview Resources 📓
  1. Tech Interview Handbook
  2. Cracking DS Interview
  3. Springboard
  4. DS Preparation
  5. 100 DS Questions
  6. 100 Numpy Exercises
  7. 101 More Numpy Exercises
  8. 100 Data Analyst Questions
  9. 100 Days of ML
  10. Interview Cake
  11. 100 Pandas Puzzles

Interesting Ad Hoc Resources 💭
  1. Awful AI
  2. Curated Data Science Blogs
  3. Awesome ML Resources
  4. Share Code - Binder
  5. Share Code - Gist
  6. Visual Studio Code Editor
  7. Scipy Lectures
  8. Python for Physics

Technology Tools

  1. Dual Arm Monitor
  2. LED Mountable Monitor

Licenses

License

CC-4.0-by-nc-nd

To the extent possible under law, David Yakobovitch has licensed this work under Creative Commons, 4.0-NC-ND. This license is the most restrictive of Creative Commons six main licenses, only allowing others to download your works and share them with others as long as they credit the author, but they can’t change them in any way or use them commercially.