House Price Prediction & Breast Cancer Classification A Flask web application that combines two machine learning models:

House Price Prediction - Linear Regression model predicting house prices based on area, bedrooms, and age

Breast Cancer Classification - Logistic Regression model classifying breast tumors as malignant or benign

Table of Contents Features

Technologies Used

Installation

Usage

Project Structure

Models

API Endpoints

Screenshots

Contributing

License

Features House Price Prediction Predicts house prices based on:

Area (square feet)

Number of bedrooms

Age of the property

Uses Linear Regression algorithm

Synthetic training data generated for demonstration

Breast Cancer Classification Classifies breast tumors as:

Malignant (Cancerous)

Benign (Non-cancerous)

Uses Logistic Regression algorithm

Features used:

Mean radius

Mean texture

Mean perimeter

Mean area

Mean smoothness

Includes feature scaling for better model performance

Technologies Used Backend: Flask (Python)

Machine Learning: scikit-learn

Data Processing: NumPy, Pandas

Model Persistence: joblib

Frontend: HTML, CSS (with popup notifications)