Machine Learning project for predicting NBA player performance using advanced regression and classification algorithms like XGBoost, Random Forest, Neural Networks, and Ensemble …

May 26, 2025 · This section introduces and evaluates a range of ML models commonly used in this domain, assessing their suitability and effectiveness for predicting NBA player performance.

May 16, 2024 · We illustrate the concepts for the top 100 shot takers over the last decade and offer our metric as an additional metric for evaluating players. We compare our metrics to two …

Mar 19, 2024 · This study presents a novel approach for predicting NBA players' performance in Fantasy Points (FP) by developing individualized models for 203 players, using advanced …

1 day ago · Title: NBA2Vec: Dense feature representations of NBA players Abstract: Understanding a player's performance in a basketball game requires an evaluation of the …

1 day ago · Basketball Analytics, advanced stats and data visualization Viziball is an innovative and universal Basketball Analytics tool covering NBA and BCL (Basketball Champions …

Mar 23, 2025 · In this blog, I'll walk through how I reproduced a research paper to predict NBA Most Valuable Player (MVP) awards using the AI data science tool, PlotsALot. Predicting MVP …

In this work, we designed a series of the experiments that revolved around collecting and filtering NBA game data to form suitable datasets for analysis through different models. The following …

These NBA projections are created using advanced models that factor in past performance, team context, pace of play and expected roles. By using projections as a guide, you can compare …

By leveraging data-driven approaches, this study seeks to identify key performance indicators, assess individual player characteristics, and uncover insights that can inform coaching …