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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-primer-companion-code

Code examples for DeveloperWorks Watson Python Primer Video class

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

responsive-portfolio

rlb-dp

Real-Time Bidding by Reinforcement Learning in Display Advertising

rpm-visual

Making an AI agent to solve the Raven's Progressive Matrices using the visual approach. Agent is written in Python 3 and utilizes the PIL library.

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

seahorse-workflow-executor

seanabu.github.io

personal blog

self_taught

This repository contains the exercises for "The Self-Taught Programmer: The Definitive Guide to Programming Professionally."

skater

Python Library for Model Interpretation/Explanations

spark-pycon15

Materials for my Spark tutorial at Pycon 2015

stats-with-python

General statistics and numerical/sceintific computing scripts and notebooks in Python

the-best-docker-books

Free Docker eBooks

themarketingtechnologist

triage

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

tutmom

Tutorial on "Modern Optimization Methods in Python"

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

vivasolutions

vlainic.github.io

My GitHub blog: things you might be interested, and probably not...

watson-conversation-variables

Samples using context variables and (system) entities in IBM Watson Conversation service on IBM Bluemix

wiki

The Ethereum Wiki -

wooldridge

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.