daviddalpiaz
Teaching Associate Professor for the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign
UIUCChambana, IL
daviddalpiaz's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
keras-team/keras
Deep Learning for humans
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
Quartz/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
topepo/caret
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
kjw0612/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
lukaemon/Coursera-ML-AndrewNg
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
ropensci/rtweet
🐦 R client for interacting with Twitter's [stream and REST] APIs
csgillespie/efficientR
Efficient R programming: a book
jennybc/happy-git-with-r
Using Git and GitHub with R, Rstudio, and R Markdown
jtleek/genomicspapers
The Leek group guide to genomics papers
karpathy/forestjs
Random Forest implementation for JavaScript. Supports arbitrary weak learners. Includes interactive demo.
jtleek/talkguide
The Leek Group Guide to Giving Talks