Syntaxhacks/Syntax-indabaX-2026

indabaX Botswana 2026 Hackathon project by team SYntax : Forecasting Botswana's food price inflation with statistical and deep learning models. # Team Syntax-indabaX-2026 indabaX Botswana 2026 Hackathon project by team SYntax : Forecasting Botswana's food price inflation with statistical and deep learning models. ## Forecasting Botswana's Food Price Inflation Under Global Economic Shocks ### Setup pip install -r requirements.txt ### Run Order 1. 00_data_pipeline.ipynb — loads, cleans, and merges all 5 datasets 2. 04_exogenous_forecast_2024.ipynb — forecasts Brent, BDI, Policy Rate into 2024 3. 01_classical_sarimax.ipynb — SARIMAX grid search, validation, 2024 forecast 4. 02_deep_learning_lstm.ipynb — LSTM training, validation, 2024 forecast 5. 03_hcp_linkage.ipynb — OLS regression, Granger causality, visualisations ### Output predictions_submission.csv is generated at the end of 01_classical_sarimax.ipynb ### Models - Classical: SARIMAX(1,1,1)(1,0,1,12) — RMSE 0.890 - Deep Learning: 2-layer LSTM, 32 units — RMSE 8.715 - Submission: SARIMAX (best performing)