Full Cloud Pipeline Deployment
So far in our Fantasy Basketball Optimization series, we’ve covered most of the different aspects of our project, including We’ve […]
So far in our Fantasy Basketball Optimization series, we’ve covered most of the different aspects of our project, including We’ve […]
Python is a great tool for automation in the cloud, but we need a way to report results back to
While we like to organize data in an actual database, a lot of the corporate world stores data in Excel
With all the data together, the next step in our Fantasy Basketball Optimization series is to do some basic exploratory
So far in our Fantasy Basketball Optimization series, we put together a relational database of CSV files with stats and
We used data science and analytics to optimize our fantasy basketball team, eventually leading to a league championship! This series
This post focuses on the third and final source in our Fantasy Basketball Optimization database: the lock-in spreadsheet. While the
This next post in our Fantasy Basketball Optimization series focuses on our second data source: the Sleeper API. The Sleeper
In this post, we’ll kick off our fantasy basketball optimization project by pulling NBA stats using the API-NBA service. This