Ajay Kulkarni's Projects
A curated list of awesome machine learning interpretability resources.
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
RStudio Cheat Sheets
Cheat Sheets
A book covering the fundamentals of data visualization.
List of Data Science Cheatsheets to rule the world
Tools for teachers to use with learnr
For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
Formatted datasets for Machine Learning With R by Brett Lantz
MASON Multiagent Simulation Toolkit
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Example of how to use nbgrader + R + testthat
A central repository of Business Science presentations
Create interactive quizzes using Shiny and Rmarkdown
Materials for the "Shiny Essentials" workshop at R/Medicine 2018
VIP cheatsheets for Stanford's CS 229 Machine Learning
A book series on JavaScript. @YDKJS on twitter.