General
PromptBeginner5 minmarkdown
→ df.dropna(subset=[TARGET_COL]
inplace=True)
0
Explore
55,572 skills indexed with the new KISS metadata standard.
inplace=True)
random_state=42 for reproducibility │
else 0 │
evaluate all three branches simultaneously:
fill in this analysis card:**
│
ascending=False)
N/A
np.nan
CustomerID must be unique and non-null
Age cannot be 0 or negative
Price is the target — rows missing it are unusable
N/A
True/False)
XGBoost / LinearRegression / Neural Network]
price]
rules
# PROMPT() — UNIVERSAL MISSING VALUES HANDLER
DevSecOps guidelines
sprint_todo.md
`[ ] Current`
updates
ask which one to do first.
with one sentence on why.