A predictive model was developed to forecast outcomes based on historical data.
Steps:
Data preprocessing and normalization
Splitting dataset into training and testing sets
Training multiple ML models
Selecting the best performing model
Performance evaluation and optimization
This project highlights strong skills in predictive modeling and data-driven decision making