GitHub - RK0297/Inflation-Stacking-Pipeline: A modular, multi-tier time series forecasting pipeline for Indian Headline CPI inflation. Implements everything from classical Statistical models (ARIMA, SARIMAX) to Machine Learning (XGBoost, SVR) and Deep Learning (CNN-LSTM), culminating in a high-accuracy Stacking Ensemble.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
data		data
models		models
notebooks		notebooks
results		results
src		src
.gitignore		.gitignore
README.md		README.md
generate_diagnostics.py		generate_diagnostics.py
report.pdf		report.pdf
report.tex		report.tex
requirements.txt		requirements.txt

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A modular, multi-tier time series forecasting pipeline for Indian Headline CPI inflation. Implements everything from classical Statistical models (ARIMA, SARIMAX) to Machine Learning (XGBoost, SVR) and Deep Learning (CNN-LSTM), culminating in a high-accuracy Stacking Ensemble.

arima cpi economics forecating inflation lstm machine-learning stacked-ensembles time-series-forecasting xgboost