print(f"\n{'='*80}\n{f' PHASE {num}: {title} '.center(80, '=')}\n{'='*80}") cgpa = np.clip(2.0 + hours * 0.15 + (att - 50) * 0.015 + np.random.normal(0, 0.15, n), 2.0 ...
df = pd.read_csv(r"C:\Users\nz\AppData\Local\Temp\58b06c00-a094-4279-a227-b122d397a549_bank.zip.549\bank-full.csv", sep=";") ...
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