Having defined what we are trying to achieve, it’s time to start thinking about what data we need and how we are going to obtain them in order to create features and train our models.
Hereby I present you with the first predictions performed by the algorithm. Qualifying and Race predictions RMSE will be published after the race. Spoiler alert: Rosberg, Hamilton, Vettel…
In this series of posts I’m going to explain the process behind building a Machine-Learning model capable of predicting F1 race outcomes. This is not indented to be a complete guide so some background on building ML pipelines is assumed.
Welcome to F1 predictor, a blog in the crossroads of my two hobbies: Formula 1 and Data Science. If you are passionate about any of the above, I’m sure you’ll find something interesting in here!