House-Price-Prediction-Model-Python-Scikit-Learn

House Price Prediction Model is a Machine Learning project developed using Python and Scikit-Learn to predict house prices based on different property features such as area, number of rooms, location, and other housing attributes.

The project includes:

* Data Cleaning and Preprocessing

* Exploratory Data Analysis (EDA)

* Feature Selection and Engineering

* Model Training using Regression Algorithms

* Model Evaluation and Performance Analysis

Technologies used:

* Python

* Pandas

* NumPy

* Matplotlib & Seaborn

* Scikit-Learn

This project demonstrates practical experience in data analysis, predictive modeling, and building end-to-end Machine Learning workflows for real-world business problems such as real estate price estimation.