Machine Learning NBA Sports Betting Analysis Tool
Project Overview
This project showcases my passion for leveraging cutting-edge technology to solve real-world problems, embodied in a comprehensive NBA sports betting analysis tool. The application utilizes Next.js for the front end and Amazon SageMaker + Python for the backend, which powers the machine learning model that predicts game outcomes with a 70% accuracy rate.
At the core of this tool is a sophisticated machine learning model developed using Amazon SageMaker. The model analyzes historical game data, player statistics, and other relevant factors to predict the outcome of NBA games. This high level of accuracy provides a strong foundation for making informed betting decisions.
The tool dynamically fetches the latest odds from various sports books via API requests. By constantly updating these odds, it ensures that the information is always current and reliable for making timely betting decisions.
Key Features
- Predictive Analytics
- Real-time API Integration
- Opportunity Detection
- Intuitive User Interface
- Comprehensive Data Visualization
- Automated Alerts
- Educational Resource