Machine learning sports prediction

The steps to machine learning

1. select & prepare the data set

2. implement the desired algorithm and train data

3. identify model metrics

Select & Prepare data set

In the above code, we are fetching and processing data for model input and the output can be seen below

• Function fetches data for all NCAAB teams and then split data in the 'Feature' (X) and 'target' (y)

• The feature data will contain game statistics that will help predict wins and losses

• The model is trained to predict what will happen in next game based on past games and form

Build and train ML model

• Fit model on training data

• I have been trying to run these code which visualizes the model