GitHub - dileepNaiduOne/BUDGET-app: BUDGET : VotingRegressor(XGBoost+LightGBM) * (5 Fold CV) — This model, built for a Kaggle insurance regression competition, preprocesses data by imputing missing values (KNN), cleaning, and engineering new features. Statistical analysis reduces features before encoding and scaling for machine learning

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BUDGET : VotingRegressor(XGBoost+LightGBM) * (5 Fold CV) — This model, built for a Kaggle insurance regression competition, preprocesses data by imputing missing values (KNN), cleaning, and engineering new features. Statistical analysis reduces features before encoding and scaling for machine learning

predict-budget.streamlit.app/

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
.streamlit		.streamlit
Tableau Charts		Tableau Charts
do_encodings		do_encodings
do_magics		do_magics
do_scalings		do_scalings
images		images
papers		papers
.gitattributes		.gitattributes
.gitignore		.gitignore
1. Stats-Infrences.ipynb		1. Stats-Infrences.ipynb
2. EDA-Filling Nulls.ipynb		2. EDA-Filling Nulls.ipynb
2.1. EDA-Filling Nulls-MICE.ipynb		2.1. EDA-Filling Nulls-MICE.ipynb
2.5. Feature Engineering.ipynb		2.5. Feature Engineering.ipynb
3. EDA-Transformation.ipynb		3. EDA-Transformation.ipynb
4. Model Building.ipynb		4. Model Building.ipynb
5. Pipeline.ipynb		5. Pipeline.ipynb
Dileep's_Submission_Take34.csv		Dileep's_Submission_Take34.csv
LICENSE		LICENSE
README.md		README.md
app.py		app.py
featuer_importance.csv		featuer_importance.csv
logo.png		logo.png
make_prediction.py		make_prediction.py
models.pkl.gz		models.pkl.gz
requirements.txt		requirements.txt
style.css		style.css