Data cleaning

[leliel12]

Data cleaning

• It is understandable that some data sets have invalid values.
• The most common invalid values are NaN, inf, and -inf but there may be cases where some finite values are invalid (debts < 0 for example).
• It would be useful to have some kind of functionality that allows removing these invalid values.
• values or replace them with some useful value with some heuristic.

[leliel12]

Useful links

• https://scikit-learn.org/stable/modules/impute.html
• https://scikit-learn.org/stable/modules/classes.html#module-sklearn.impute