Machine Learning Model for Data Prediction using Python

This project involves building a machine learning model using Python to analyze data and make accurate predictions.

The process included:

Data cleaning and preprocessing

Exploratory Data Analysis (EDA)

Feature selection and engineering

Training machine learning models using Scikit-learn

Evaluating model performance using accuracy metrics

The project demonstrates the ability to transform raw data into meaningful predictions using modern ML techniques.