Diabetes Prediction using Machine Learning

Project Overview

This project predicts whether a patient has diabetes using different Machine Learning classification algorithms based on medical measurements.

The project covers the complete machine learning workflow, including data preprocessing, exploratory data analysis (EDA), model training, and model evaluation.

📂 Dataset

Dataset: Pima Indians Diabetes Dataset

Target: Outcome

0 → Non-Diabetic

1 → Diabetic

🛠️ Project Workflow

Data Understanding

Data Cleaning

Exploratory Data Analysis (EDA)

Data Preprocessing

Train-Test Split

Feature Scaling

Model Training

Model Evaluation

Model Comparison

🤖 Machine Learning Models

Logistic Regression

K-Nearest Neighbors (KNN)

Support Vector Machine (SVM)

Decision Tree

Random Forest