Sudhanshu1st/Advanced-House-Prediction-EDA

In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.

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This project helps real estate analysts, appraisers, or investors understand and predict home prices in Ames, Iowa. It takes detailed property features like lot size, square footage, and neighborhood as input and outputs a predicted sale price for each home. The end-user would be anyone needing to accurately estimate property values based on various characteristics.

No commits in the last 6 months.

Use this if you need to analyze the factors influencing residential home prices and build a model to predict sale prices based on detailed property attributes.

Not ideal if you are looking for a pre-built, ready-to-deploy application for real estate valuation or if your focus is on commercial properties.

real estate valuation property appraisal housing market analysis predictive modeling data-driven investment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 16 / 25

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18

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7

Language

Jupyter Notebook

License

Last pushed

Apr 26, 2023

Commits (30d)

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