We developed a machine learning model to predict real-time NBA matches. Utilizing advanced algorithms like XGBoost, Regression, and MLP (Multilayer Perceptron), the system provides accurate predictions based on historical data.
Although predicting NBA matches using historical data is common, making real-time predictions with high accuracy posed a significant challenge.
We ran simulations using XGBoost and fine-tuned the model for real-time applications, resulting in accurate predictions.
The client is highly satisfied with the project’s performance and the accuracy of predictions.
The project currently boasts a success rate exceeding 75%.
