General
PromptBeginner5 minmarkdown
df.replace(DISGUISED_NULLS
np.nan
0
Explore
62,936 skills indexed with the new KISS metadata standard.
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]
Binary Classification]
price]
rules
feature engineering
# PROMPT() — UNIVERSAL MISSING VALUES HANDLER
DevSecOps guidelines
sprint_todo.md
accurate
`[ ] Current`
target line numbers
---
updates
ask which one to do first.
with one sentence on why.
jargon-free explanation of what the concept is.
define it instantly.
servers