Learn how to run a simple linear regression regression machine learning model from start to finish in this comprehensive tutorial. In this project, we'll predict the scores of Premier League players using Python. We'll cover the entire process: project overview, necessary Python libraries and packages, data importation, exploratory data analysis (EDA), data splitting, and linear regression model building. We'll explain key concepts such as correlation, overfitting, underfitting, and regression assumptions. By the end of this tutorial, you'll understand how to apply simple linear regression, interpret results, and ensure your model meets the necessary assumptions. Perfect for data scientists and football analysts alike, this guide will help you predict player scores to optimize team performance and player negotiations
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