General
PromptBeginner5 minmarkdown
→ df.dropna(subset=[TARGET_COL]
inplace=True)
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89,410 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)
np.nan
N/A
Price is the target — rows missing it are unusable
Age cannot be 0 or negative
CustomerID must be unique and non-null
XGBoost / LinearRegression / Neural Network]
N/A
True/False)
price]
rules
feature engineering
# PROMPT() — UNIVERSAL MISSING VALUES HANDLER
accurate
sprint_todo.md
DevSecOps guidelines
`[ ] Current`
updates
with one sentence on why.