rebekahkim
Tesla Energy System Controls - Previously CS & Stats @ Columbia University, Facebook Data Science
Bay Area
rebekahkim's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
d3/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Homebrew/brew
🍺 The missing package manager for macOS (or Linux)
remoteintech/remote-jobs
A list of semi to fully remote-friendly companies (jobs) in tech.
Bash-it/bash-it
A community Bash framework.
Powerlevel9k/powerlevel9k
Powerlevel9k was a tool for building a beautiful and highly functional CLI, customized for you. P9k had a substantial impact on CLI UX, and its legacy is now continued by P10k.
yanirs/established-remote
A list of established remote companies
SVG-Edit/svgedit
Powerful SVG-Editor for your browser
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
AaronJackson/vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
hadley/stats337
Readings in applied data science
gka/d3-jetpack
🚀 Nifty convenience wrappers that speed up your daily work with d3.js
msr-ds3/coursework
summer school coursework
cluebotng/cluebotng
ClueBot NG
amueller/applied_ml_spring_2017
Website and material for the FIXME course on Practical Machine Learning
tz33cu/Data-Science-with-R
This repository contains some of my codes and notebooks for teaching Data Science using R.
rimmap/Phenome_Model
The Unsupervised Phenome Model (UPhenome) for learning phenotypes on heterogeneous EHR data
lucas-schuermann/intro-to-datascience
Curriculum for DevFest 2017 at Columbia University