https://github.com/adilshamim8/machine_learning_housing_corp
Machine Learning Housing Corp is a project that predicts median house values in Californian districts using various machine learning algorithms and dataset features such as average rooms, population density, and average income.
https://github.com/adilshamim8/machine_learning_housing_corp
Last synced: 2 months ago
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Machine Learning Housing Corp is a project that predicts median house values in Californian districts using various machine learning algorithms and dataset features such as average rooms, population density, and average income.
- Host: GitHub
- URL: https://github.com/adilshamim8/machine_learning_housing_corp
- Owner: AdilShamim8
- Created: 2025-01-10T16:28:36.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-03T10:10:41.000Z (3 months ago)
- Last Synced: 2025-03-03T11:25:22.152Z (3 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 1.66 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Machine Learning Housing Corp
Welcome to **Machine Learning Housing Corp**! This project involves predicting median house values in Californian districts using various machine learning techniques.
## Table of Contents
- [Project Overview](#project-overview)
- [Features](#features)
## Project Overview
The objective of this project is to build a predictive model that estimates median house prices in California based on multiple features of the districts. The dataset contains important variables such as:
- Average number of rooms
- Population density
- Average income
- Proximity to amenities
## Features
- A dataset containing house values and relevant features.
- Implementations of various machine learning algorithms (e.g., Linear Regression, Random Forest).
- Data preprocessing steps integrated into the analysis.
- Visualization of results for better understanding.