# Transforming target variable

Building my machine learning model, I have a target variable that consists of dollar values ranging from $$0.01$$ to $$1000000$$+. I want to transform these dollar values in to a scale of 1 to 10 and then try and predict that level of 1 through 10.

What is the best approach to normalize my dollar values in to a scale of 1 to 10?

• I am not sure if this needs normalization. You can just use quartile cuts and create 10 separate bins in another column and use that column as target.
– cap
Nov 22 '19 at 20:20
• if you are doing this in Python, use this link to know more - pandas.pydata.org/pandas-docs/version/0.23.4/generated/…
– cap
Nov 22 '19 at 20:20