Project Overview

• Objective

  
  

  To develop an advanced predictive model for forecasting basketball game outcomes.

  
  

• Role

  
  

  Collaborative team member in a group of three, focusing on machine learning applications.

  
  

• Key Contributions:

  
  

  • Conducted comprehensive research into machine learning principles, emphasizing their application in sports analytics.

  • Engaged in hands-on coding and algorithm development using Python, a leading programming language in AI and machine learning.

  • Played a pivotal role in team discussions and strategy formulation, contributing to the overall design and implementation of the predictive model.

  
  

Skills and Technologies

• Languages & Tools

  
  

  Python, various machine learning libraries (e.g., TensorFlow, scikit-learn)

  
  

• Core Competencies

  
  

  Data analysis, predictive modeling, algorithm development, team collaboration.

Project Impact

• Successfully created a model capable of analyzing historical data and current statistics to predict basketball game outcomes with a significant accuracy rate.

• Enhanced understanding of machine learning algorithms and their practical applications in sports analytics.