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Frame analytical/ML problems
• Build and evaluate classical ML models using Python
• Use Excel, SQL, and Jupyter for data preparation and analysis
• Apply ML metrics and run structured experiments
• Evaluate classical ML and LLM‑based solutions
Excel & SQL
• Python (NumPy, Scikit‑learn)
• ML fundamentals
• Jupyter workflow
• Experiment design & model evaluation metrics
• Classical ML + LLM evaluation