Python Data Science Handbook: full text in Jupyter Notebooks

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

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 ;)

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This repository contains implementations and illustrative code to accompany DeepMind publications

Python training for business analysts and traders

Collection of notebooks about quantitative finance, with interactive python code.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Technical Analysis Library using Pandas and Numpy

Performance analysis of predictive (alpha) stock factors

Machine Learning in Finance: From Theory to Practice Book

Collection of algorithms for online portfolio selection

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…

Scripts/Notebooks used for my articles published on Medium

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng

Design-of-experiment (DOE) generator for science, engineering, and statistics

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

Things that you should (and should not) do in your Materials Informatics research.

Trading Economics Python Jupyter Notebooks showcase how everyone can make insights and data science. Trading Economics has more than 20 million indicators from 196 countries plus historical, delaye…

Compute VIX and related volatility indices

Set of notebooks for a basic financial analysis for stocks investing with Python

Expanded dataset of mechanical properties and observed phases of multi-principal element alloys

Codebase for the Blogs of Famous Quantitative Research Algorithms

Fear and volatility in crypto markets

Project to find stocks that reliably go up each year as specific intervals.

DNN models for GB diagrams