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Load each CSV with the right options and confirm row counts, separators and date parsing. Concepts: pandas I/O options; encodings; date parsing; time zones Project A: pd.read_excel('German Credit History Raw Data.xlsx') or pd.read_csv('german.data', sep=' ', header=None, names=[...]); rename; target = credit_risk.map({'Good': 0, 'Bad': 1}). Confirm 1,000 × 21. Project B: Load both energy and weather files; parse 'time' / 'dt_iso' to UTC datetime (the source contains +01:00/+02:00 offsets due to daylight saving).
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