Update Electric Objects with NYTimes frontpage.

A collection of work related to COVID-19

Source code for my personal blog

An index of algorithms for learning causality with data

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

List all SQL interview questions

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Research in investment finance with Python Notebooks

Comprehensive Python Cheatsheet

iPython notes, and examples from the YouTube series by sentdex, Python Programming for Finance.

Solutions to the exercises in Grinstead and Snell's Introduction to Probability

Udacity's Self-Driving Car Nanodegree project files and notes.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Jupyter Notebooks for the Python Data Science Handbook

📓Solutions to Introduction to Algorithms

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Computation using data flow graphs for scalable machine learning

Testbed for deep reinforcement learning algorithms

Practice your pandas skills!

Udacity Deep Learning MOOC assignments

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Public facing notes page

TensorFlow tutorials and code examples for beginners

common data analysis and machine learning tasks using python