Answers to 120 commonly asked data science interview questions.

Probabilistic Graphical Models

Bootcamp in Montreal Jan 20-21, 2014

538 Election Forecasting Model

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

A collection of algorithms and data structures

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Automated Machine Learning [AutoML] for Python

Algorithm implementations and homework solutions for the Stanford's online courses

Contribute alternative assignments for Numerical Methods with Python

A curated list of awesome loosely low level, performance related JVM stuff. Inspired by awesome-python.

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

Bayesian time series modeling

My solutions to lab exercises of MOOC

Repository for OSM Lab Boot Camp 2017

An R package for causal inference in time series

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Singular Spectrum Analysis methods implementation in Python

coding the matrix by Python

Basic cryptocurrencies trader that uses the Coinigy API

Course material for Columbia IEOR 4601

ECON 815: Computational Methods for Economists

coursera compfinace course: Some R code translated to python

Official content for Harvard CS109