Ask Ghassem - Recent questions tagged onehotencoder

When dealing with categorical values, should the 'year' column be encoded using OHE or OrdinalEncoder?

Sat, 18 Dec 2021 18:46:07 +0000

It's a car prices dataset, and so I'm assuming that the more recent the more value a car should have. The values in the 'year' column simply consist of years from 1995 to 2020.
I am trying to predict the selling price of the car.

I'm a bit new to ML, currently still doing my undergraduate so any help / tips are appreciated. Thank you.

How do I know which encoder to use to convert from categorical variables to numerical?

Mon, 29 Nov 2021 04:09:06 +0000

So say I have a column with categorical data like different styles of temperature: 'Lukewarm', 'Hot', 'Scalding', 'Cold', 'Frostbite',... etc.

I know that we can use pd.get_dummies to convert the column to numerical data within the dataframe, but I also know that there are other 'converters' (not sure if that's the correct terminology) that we can use, i.e. OneHotEncoder from Sk-learn (like I could use the pipeline module to make a nice pipeline and feed my dataframe through the pipeline to also get my categorical data encoded to numerical).

How do I know which to use? Does it matter? If it does matter, when does it matter the most (i.e. what types of problems? When there are lots of categorical variables, or few?) If anyone can give me any pointers on this type of stuff I'd greatly appreciate it.

why after applied the OneHotEncoder, it will create one more column whatis that column for?

Thu, 13 Feb 2020 02:53:52 +0000