In this repo, are two notebooks. One for data collection i.e. collecting prematch odds and results after the day. the data is cleaned to remove outliers, nulls, invalid and duplicate records. model development employs the Random Forest and Adaptive boosting algorithms
EriaKatumba/Predicting-Soccer-Results-Using-Machine-Learning
In this repo, are two notebooks. One for data collection and the other for data cleansing and model development
Jupyter Notebook