Ever wanted to build your own predictive model to create optimal dfs lineups using data science & machine learning?
This article will be your road map to connect the various processes needed to develop predictive model(s) & optimize your predictions. This will be the hierarchical structure to several other posts that together will get you making predictions in no time.
Each section will contain its own post, with this post being the hub tying them all together.
The processes to be covered in this article:
– Data Acquisition (Web Scraping) | Article: Click Here
– ETL & Feature Engineering | Link:
– Model Selection & Implementation | Link:
– Lineup Optimization | Link: