Data and code of my Medium story on stock prediction with TensorFlow

Tutorial material on the scientific Python ecosystem

QuantConnect Wiki Style Documentation Behind QuantConnect

Jupyter (IPython) notebooks for exploring mixture models

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ARCH models in Python

Google Cloud Datalab samples and documentation

Interactive Data Visualization in the browser, from Python

Miscellaneous IPython notebooks showing off plotly's features

Репозиторий открытого курса OpenDataScience по машинному обучению

An intuitive library to add plotting functionality to scikit-learn objects.

Backtesting toolbox for trading strategies - DEPRECATED

Sample trading strategies using price data and conventional indicators

Ipython notebooks for math and finance tutorials

Zipline, a Pythonic Algorithmic Trading Library

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

📙 The probability and statistics cookbook

scikit-learn: machine learning in Python

Probabilistic reasoning and statistical analysis in TensorFlow

Models and examples built with TensorFlow

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Curriculum for DevFest 2017 at Columbia University

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.