A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

Intro to Conformal prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Predictive Power Score (PPS) in Python

Pseudo API for Google Trends

Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677

Machine Learning in Finance: From Theory to Practice Book

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Code used in YouTube Videos

Python project trying to facilitate and being a starting point for soccer analytics projects.

Football pitch plotting library for matplotlib

A repository for football analytics

A curated list of football analytics awesome resources, articles, books and more!

Collection of references, datasets and software libraries for soccer analytics.

Getting started with soccer analytics

⚽📈 A curated list of awesome resources related to Soccer Analytics.

Collection of notebooks I have done on football scraping the data from FBref,Whoscored and Understat.

Webscraper for the website www.whoscored.com using Python and Selenium

Get match event data from whoscored.com

Football player rating analysis and position recommendation

Scrape data from whoscored.com and draw insights from data.

⚽️ Extract, prepare and publish Transfermarkt datasets.

🕸️ Collects data from Transfermarkt website

Scrape, process and load football-related data from FBref, Sofascore and Transfermarkt

API service to get data from Transfermarkt

This repository shows the application of PCA technique for risk factor modelling of financial securities.

Repository for the AugmentedPCA Python package.

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

Lighter web automation with Python

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