https://github.com/ngangawairimu/regression-model-for-predicting-house-prices
This project focuses on applying statistical modeling techniques to predict house prices in Melbourne using the Melbourne House Price dataset. It involves data cleaning, exploratory data analysis (EDA), feature selection, and fitting a regression model to predict the target variable, which is the house price.
https://github.com/ngangawairimu/regression-model-for-predicting-house-prices
datacleaning dataprocessing explanatory-data-analysis modelevaluation modelinterpretability regression-analysis
Last synced: 7 months ago
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This project focuses on applying statistical modeling techniques to predict house prices in Melbourne using the Melbourne House Price dataset. It involves data cleaning, exploratory data analysis (EDA), feature selection, and fitting a regression model to predict the target variable, which is the house price.
- Host: GitHub
- URL: https://github.com/ngangawairimu/regression-model-for-predicting-house-prices
- Owner: ngangawairimu
- Created: 2024-12-04T15:26:45.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-11T15:08:04.000Z (10 months ago)
- Last Synced: 2025-02-02T04:11:42.541Z (8 months ago)
- Topics: datacleaning, dataprocessing, explanatory-data-analysis, modelevaluation, modelinterpretability, regression-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 1.66 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0