Youssef-AMARZOU/morocco-economic-pipeline

Morocco Economic Analysis Pipeline - R/Python ETL, ML/DL models, Kaggle published # Morocco Economic Pipeline End-to-end socio-economic-financial analysis pipeline for Morocco — from raw data ingestion to machine learning forecasting and an enriched HTML report. --- ## Kaggle Resources | Resource | Link | |----------|------| | **Dataset** (22 CSVs) | amarzouyoussef/economie-maroc-rasd | | **R Kernel** (notebook, linked to GitHub) | amarzouyoussef/maroc-pipeline-r | | **Forecasting Model** | amarzouyoussef/morocco-economic-forecasting | ### Model Variations | Variation | Framework | Kaggle URL | |-----------|-----------|------------| | Random Forest | scikit-learn | ScikitLearn/random-forest | | Lasso | scikit-learn | ScikitLearn/lasso | | ARIMA | statsmodels | Other/arima | | Deep Learning | Keras | Keras/deep-learning | --- ## Architecture ``` Raw Data (WB, IMF, OWID, Casablanca SE) | [Python ETL] fetch_wb.py / fetch_owid.py / fetch_imf2.py | clean.py / transform.py / merge.py / load.py v 22 clean CSVs --> Kaggle Dataset (economie-maroc-rasd) | [R Kernel] maroc_pipeline.R (Kaggle R notebook) | 11 sections: Ingest → Clean → Join → EDA → Stats | → Scenarios → ML → DL → Benchmark → Validation | → Export + HTML Report v HTML Report rapport_economie_maroc.html | [Kaggle Models] 4 variations published for inference ``` --- ## ETL Pipeline (Python) | Script | Purpose | |--------|---------| | `fetch_wb.py` | World Bank WDI indicators (GDP, inflation, debt, trade, etc.) | | `fetch_owid.py` | Our World in Data (energy, demographics, health) | | `fetch_imf2.py` | IMF WEO forecasts and historical data | | `clean.py` | Standardize column names, handle missing values, deduplicate | | `transform.py` | Pivot, aggregate, create derived indicators | | `merge.py` | Join all sources into a unified master dataset | | `load.py` | Export final CSVs for Kaggle upload | | `spark_etl.py` | Optional Spark-based distributed ETL for large volumes | | `config.py` | Shared configuration (paths, constants) | | `run_all.py` | …