FPL Player Performance Model
Predict the performance of FPL players based on their historical data
Machine LearningFeature EngineeringPipeline
Challenge
Automating the creation and updating of a ML predictor model based on historical data for predicting the performance of FPL players.
Approach
Creating a pipeline that creates features from historical data and trains a regression model using PyTorch, which is updated every week to predict the next week's performance of FPL players.
Impact
Create a webpage that displays the predicted performance of FPL players, with a live update every week. Based on real game data, the model can be updated to predict the performance of FPL players more accurately.
Tech Stack
PythonPyTorchHopsworks