Anemia Disease Data Analysis and Prediction Using Machine Learning

This project focuses on analyzing medical data related to anemia to identify key factors affecting the disease and to build a predictive Machine Learning model for early detection.

The work covers the full data science pipeline, starting from data cleaning and preprocessing, through exploratory data analysis and visualization, to model building and evaluation.