NBA_Champion

➭ Predicting the last 3 (2020-2022) NBA Champions using Machine Learning.

The NBA playoffs is the postseason tournament of the National Basketball Association (NBA) held to determine the league's Champion. An annual best-of-seven elimination tournament, the NBA playoffs are held after the league's regular season and its preliminary postseason tournament, the NBA Play-In Tournament.
I use historical data on each regular season played by a team to predict the last 3 Champions (2020-2022).
My regression model combined with adjusted ranking metrics correctly predicted ALL 3 Champions!
But what are the stats (features) that have allowed my model to perform so well?

The following picture shows all the work steps that are carried out. I usually combine these steps in a fully automated pipeline, but since this is a side project and my free time is limited, the pipeline is split into 3 files that are executed sequentially.

➤ 1 'nba_html_crawler.ipynb':

• Parse selected Basketball-Reference (Website) pages and save all relevant pages in html-format.
• Basketball-Reference

➤ 2 'nba_html_to_mongodb.ipynb':

• Aggregate the data from the html pages and upload it to my MongoDB Cloud account.

➤ 3 'nba_ml.ipynb':

• Predict the last 3 (2020-2022) NBA Champions with Machine Learning.

➤ Additional 'dashboard.pbix':

• PowerBI file with a three charts, all three are featured in the 'nba_ml.ipynb' file.

Article on Medium:

Medium

🔗 Links from the Author(Me)

Portfolio/Website
LinkedIn
Medium
Pinterest