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Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The "Python Machine Learning (1st edition)" book code repository and info resource
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Notebooks about Bayesian methods for machine learning
PySpark-Tutorial provides basic algorithms using PySpark
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
Simple BitMEX trading robot.