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Topic: "house-price-analysis"

atharvapathak/House_Price_Prediction_Project

This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

roniantoniius/Analyze-House-Price-Scrapping-Tableau

Language: Jupyter Notebook - Size: 282 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

eiliaJafari/House-prices-in-Beijing

An analysis of house prices in Beijing

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Yash22222/Real-Estate-Price-Prediction-Using-Linear-Regression

This project employs linear regression to predict property prices based on key features. Through thorough data cleaning, preprocessing, and feature engineering, the model is fine-tuned for accuracy. With insights from exploratory data analysis, the model offers reliable estimates, aiding stakeholders in informed decision-making.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Sharath1036/house-price-and-sales-prediction

We find out the predicted house price (Regression) and predict whether a house was sold within 3 months or not (Classification)

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

codeasarjun/house_price_prediction

This tool utilizes Python, Flask, and Linear Regression to predict house prices based on housing data from Kaggle. Whether you're a real estate enthusiast or just curious about predicting house prices, it provides an intuitive interface to explore and predict potential prices.

Language: Python - Size: 50.8 KB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Haonguy/Chicago_Housing_Price_Segmentation_and_Determinants

Segment the Chicago's housing market and determine the main factor's influencing the housing price.

Language: HTML - Size: 19.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

davidmaceachern/QAC020X303

🔍 📈 Exploratory data analysis and Sklearn algorithm test harness for QA Datascience Summative assignment.

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0