The written report and jupyter notebook (HTML format) for the investigate a data set project. The selected database is the European Soccer Database hosted on Kaggle.
Jupyter notebooks of the github.com/Friends-of-Tracking-FoTD/LaurieOnTracking
This repository will be looking at Football doing a range of different activities with football data this will include Exploratory Data Analysis, Data visualization, Web scraping, machine learning applications and many other topics. This repository will consist of mainly Jupyter Notebooks and Python programming language.
ML-Premier-League-Wins-Predictor is my first machine learning project that predicts the number of wins for each team in the Premier League using linear regression. Explore the key factors that contribute to becoming a champion in one of the world's most competitive football leagues. Jupyter Notebook and code included.
Jupyter notebooks to help in FPL
Explore a collection of Jupyter notebooks showcasing visually engaging data analyses and visualizations related to football (soccer). Dive into player statistics, team performance, market values, and more, all brought to life through data science and visualization techniques.
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