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Learn how to develop, deploy and iterate on production-grade ML applications.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The "Python Machine Learning (1st edition)" book code repository and info resource
Portfolio and risk analytics in Python
From the basics to slightly more interesting applications of Tensorflow
Performance analysis of predictive (alpha) stock factors
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor mod…
Python implementation of the R stargazer multiple regression model creation tool
A blog for data analytics using data science technologies
A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P1500 in order to emit monthly buy signals.