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https://github.com/mehrab-kalantari/advanced-house-price-prediction
Predicting house prices using advanced regression algorithms
https://github.com/mehrab-kalantari/advanced-house-price-prediction
catboost-regressor random-forest-regressor support-vector-regressor svr xgboost-regressor
Last synced: 3 days ago
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Predicting house prices using advanced regression algorithms
- Host: GitHub
- URL: https://github.com/mehrab-kalantari/advanced-house-price-prediction
- Owner: Mehrab-Kalantari
- Created: 2023-09-01T09:49:31.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-01T10:02:06.000Z (about 1 year ago)
- Last Synced: 2024-10-24T15:52:57.118Z (25 days ago)
- Topics: catboost-regressor, random-forest-regressor, support-vector-regressor, svr, xgboost-regressor
- Language: Jupyter Notebook
- Homepage:
- Size: 265 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Advanced House Price Prediction
In this notebook we use advanced regression models to predict house prices
[Dataset on kaggle](https://www.kaggle.com/datasets/shivachandel/kc-house-data)
## Contents
### Data Cleaning
* Column removal
* Missing values handling
### Data Understanding and EDA
* Correlation analysis
* Barchart
* Histogram
### Data Preprocessing
* Standard scaling for features
* Normalizing target
### Modeling
* XGBoost regressor
* Catboost regressor
* Random forest regressor
* SVR
### Evaluation
* MAE
* R2 score
### Comparison
Here is a comparison between models mean absolute errors
