General
PromptBeginner5 minmarkdown
→ df.dropna(subset=[TARGET_COL]
inplace=True)
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98,995 skills indexed with the new KISS metadata standard.
inplace=True)
random_state=42 for reproducibility │
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evaluate all three branches simultaneously:
ascending=False)
N/A
np.nan
Price is the target — rows missing it are unusable
CustomerID must be unique and non-null
N/A
Age cannot be 0 or negative
price]
True/False)
XGBoost / LinearRegression / Neural Network]
explainable missing value treatment plan.
feature engineering
# PROMPT() — UNIVERSAL MISSING VALUES HANDLER
accurate
rules
DevSecOps guidelines
sprint_todo.md
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