Imad EL BADISY 's repositories
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
distillML
An R package providing functions for interpreting and distilling machine learning models
Introduction_to_Data_Mining_R_Examples
R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)
ISLR-Answers
Solutions to exercises from Introduction to Statistical Learning (ISLR 7th Edition)
latexcheatsheet
LaTeX cheatsheet
MachineShop
MachineShop: R package of models and tools for machine learning
Deep-learning-books-1
Books for machine learning, deep learning, math, NLP, CV, RL, etc
notable
The Markdown-based note-taking app that doesn't suck.
pinp
Pinp Is Not PNAS -- Two-Column PDF Template
r_neural_network_deep_learning
This is a curated list of libraries and frameworks for Neural network and deep learning in R
simpleRF
A simple implementation of random forests in plain R
simputation
Making imputation easy
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
vizhaz
An interactive shiny app to play around with hazard functions