Anemia Data Analysis & Prediction using Machine Learning

This project focuses on analyzing and predicting anemia cases using data mining and machine learning techniques. The dataset was obtained from Kaggle and processed using Orange Data Mining.

The project follows a structured data analysis process including data understanding and data preprocessing before applying machine learning models.

Project Steps:

Importing the dataset (CSV format)

Understanding the dataset and its attributes

Data preprocessing and cleaning

Building a machine learning workflow using Orange

Training and testing the model

Predicting anemia cases based on medical attributes

Technologies Used:

Orange Data Mining

Machine Learning

CSV Dataset

Data Analysis

Project Features:

Visual workflow for machine learning

Easy data preprocessing

Dataset exploration and understanding

Model testing and prediction

This project demonstrates how machine learning can assist in analyzing medical datasets and predicting anemia cases effectively.