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penn-ml-benchmarks

A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

practicalml-course-project

This detailed analysis has been performed to fulfill the requirements of the course project for the course Practical Machine Learning offered by the Johns Hopkins University on Coursera

principles-of-machine-learning-r

Principles of Machine Learning R

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python-flask-api

python-for-developers

This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.

python-patterns

A collection of design patterns/idioms in Python

python-snippets

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonforeverybodycoursera

My solutions for the Programming Assignments from Coursera's "Python for Everybody" Specialization

pythonmachinelearning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

r-google-analytics

Scripts to start working with data from Google Analytics in R

r-programming-johns-hopkins-bloomberg-school-of-public-health-coursera

Notes from the R programming Coursera course

reinforcement-learning

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

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

research-methods-for-data-science-with-python

Research Methods for Data Science with Python

rest-tutorial

Files for my REST API tutorials featuring a server written in Python and a web client written in Javascript.

shinyapps

Deploy Shiny applications to ShinyApps

sklearn-benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

spark

Mirror of Apache Spark

sql_helpers

Functions to work with SQL Server from python

sql_server_course

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-statistical-learning

Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!

stanford-statistical-learning-1

Notes and code of Coursera-like course on Statistical Learning from Stanford University

stat545-ubc.github.io

Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.

statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

tensorflow-gpu-install-ubuntu-16.04

Tensorflow GPU install instructions for ubuntu 16.04