Hi, i’m new to machine learning but have been keen to get into it for a while. I want to create a program which ultimately will use player data to predict a high scoring fantasy football team each week. My player data will include statistics such as:

– Position, team etc

– Scores from previous weeks (as well as total and average score)

– Fixture difficulty of the upcoming game

– Player price

I have been doing some research on ML algorithms and linear regression seems to be the right one to use but I wanted to ask for some advice on the different algorithms and how to approach this project.