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An Introduction to Statistical Learning with Applications in PYTHON
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
Resoruce to help you to prepare for your comming data science interviews
Where to find Sports data (R/Python/Other Languages)
Rembg is a tool to remove images background
Package to visualize soccer data
most pretty & lovely tables with matplotlib
Collection of tools and scripts for analysis and visualisation of football data.
Son of a Corner's viz of the week
The code here is pretty much everything I use to create my visuals. Currently only including code used to create my tables using data from sources such as Soccerment, StatsBomb and Fbref. Each subf…
Webscraper for the website www.whoscored.com using Python and Selenium
🎨 Enhance your GitHub profile with this amazing tool, which allows you to create a personalized README quickly and easily. This profile README generator is the best you'll find 🚀
Getting started with soccer analytics
This is a repository on hands-on introduction to football (soccer) data analysis, targeting those who want to start working with their own football data and perform analyses.
Python project trying to facilitate and being a starting point for soccer analytics projects.
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Gallery for typical football plots created using matplotlib
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Data Visualization with Python
Simple plotting library that wraps Matplotlib and integrated with DataFrames
Football pitch plotting library for matplotlib
A proof-of-concept jupyter extension which converts english queries into relevant python code
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
📝 An awesome Data Science repository to learn and apply for real world problems.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…