This project is about predicting the number fantasy points a fantasy football player will score. The data used to analyze this project is historical fantasy football data from 1970-1999 obtained from Fantasy Football Data Pros. The goal of this project will be to determine what is the best projection model for predicting the amount of fantasy points a player will score for this year's season.
Things I like about the proposal:
The group did a great job choosing the dataset and analyzing the data.
Idea seems to be new and refreshing. I have never heard of fantasy football before.
Good explanation of why your research question is important.
Things to improve:
You could try to include a hypothesis about the results you expect to get after testing your models.
Besides talking about how to divide the data up in to testing/training portions, they didn't really discuss what methods or techniques they were thinking of using for the project.
More analysis can be done on how the factors might allow a player to score higher than others (e.g. touchdowns, measures of defense) play a role in influencing fantasy points and projections
This project is about predicting the number fantasy points a fantasy football player will score. The data used to analyze this project is historical fantasy football data from 1970-1999 obtained from Fantasy Football Data Pros. The goal of this project will be to determine what is the best projection model for predicting the amount of fantasy points a player will score for this year's season. Things I like about the proposal: