Data Loading & Machine Learning Model

This project focuses on building a complete workflow starting from data collection and loading, followed by data preprocessing (handling missing values, normalization, feature selection), and ending with applying a machine learning model for predictions. The goal of the project was to understand the end-to-end ML pipeline and gain hands-on experience in Python.