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A practical, Linux-first guide to AI business analytics that turns CSVs into automated predictions with Bash and Python: set up a lean environment, load or synthesize data, explore with DuckDB/pandas, train and track a baseline churn model via scikit-learn + MLflow, then automate via cron, share via Jupyter, and export charts—reproducible, scriptable steps adaptable to churn, demand, and pricing use cases.