• Python
• Stata
• SQL
• OpenCV (image processing in Python)
• ML
• Econometrics
• Miscellaneous topics in data science

These resources are accumulated resources pulled from public posts on LinkedIn groups Machine Learning Community and Learn Statistics Through Practice. They are shared publicly from their respective authors (included in each document) and screened before being added to the repository. Notwithstanding, please do not share these documents or the associated repository links beyond the lab.

See this tutorial to learn more about basic uses and operations of OpenCV for image handling.

• Colab Notebook
• Notebook and Python files on GitHub

Try Grepper, a free Google Chrome extension that allows you to add common code snippets to appear at the top of your Google search page so that you don't have to shuffle through blogs and pages of StackExchange or GeektoGeek when you use Google to research a code problem. When other programmers search a similar problem and save a code snippet, it is automatically added for all users. It is essentially a crowdsourced repository of solutions to common problems.

• Python for Data Science Cheatsheet

• Pandas Cheatsheet

• Pandas Data Wrangling Cheatsheet

• Stata to Python Translation Cheatsheet

• Stata Cheatsheet

• Graphical visualizations cheatsheet (Language independent)
  for best practices, use cases, and general information about various visualization types.

• Keyboard shortcuts for common languages