NBA Prediction Project

The objective of the project is to create a predictive model that predicts players for the All-NBA Team and All-Rookie Team based on statistical data.

Results ALL-NBA

All-NBA Team	Player 1	Player 2	Player 3	Player 4	Player 5
First Team	Giannis Antetokounmpo	Luka Doncic	Jayson Tatum	Anthony Davis	Shai Gilgeous-Alexander
Second Team	Anthony Edwards	Kevin Durant	LeBron James	Nikola Jokic	Paolo Banchero
Third Team	Jalen Brunson	De'Aaron Fox	DeMar DeRozan	Domantas Sabonis	Devin Booker

Results ALL-Rookie

All-Rookie Team	Player 1	Player 2	Player 3	Player 4	Player 5
First Team	Victor Wembanyama	Chet Holmgren	Brandon Miller	Keyonte George	Scoot Henderson
Second Team	Jaime Jaquez Jr.	Amen Thompson	Brandin Podziemski	Cason Wallace	Ausar Thompson

Files Overview

• all_nba.ipynb: Jupyter Notebook containing the data analysis process including data loading, preprocessing, modeling, and evaluation.

Plot and Statistics Descriptions:

1. Number of All-NBA Nominations for Top 20 Players:

   • Displays the number of All-NBA nominations for the top 20 players with the highest number of nominations.

2. Feature Correlation Matrix:

   • Illustrates how various features correlate with each other, aiding in feature selection and understanding feature relationships.

3. Features Most Correlated with All-NBA Nomination:

   • Presents the features (player statistics) most correlated with All-NBA nomination, helping identify key predictors.

4. Average Age of All-NBA Nominated Players in Each Season:

   • Shows the average age of players nominated for All-NBA in each season, indicating if age influences nomination chances.

5. Teams with the Most Players in All-NBA:

   • Displays teams with the highest number of players nominated for All-NBA, highlighting teams with significant impact.

6. Teams with the Most Players in All-NBA in Each Season:

   • Shows teams with the highest number of players nominated for All-NBA in each season, indicating changes in dominant teams over time.