Data Preprocessing 07: Ordinal Encoding Sklearn | Machine Learning | Python

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Data Preprocessing 07: Ordinal Encoding Sklearn | Machine Learning | Python

About this video: In this video, you will learn about Ordinal Encoding Sklearn in Python

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Great video. I want to impute my data for an ARIMA project using KNN Imputer as it doesn't handle categories. The data is hourly weather data so imputing based on the nearest neighbour is the logical choice. To that end, I want to encode my data to run KNN Imputer and your video explains it really well. My question is once it is encoded and transformed is there a simple way to map it back to the categories so the end user isn't having to use a reference mapping sheet?

davidfullstone

simple and good explanation. Thank you

chewji

Very nice, thank you. Is there a way to tell OrdinalEncoder to use integers instead of float, or do we have to explicitly cast it ourselves?

ebbandari

I have one question. how do we normalize these values for applying ML algorithms?

amitvyas

I have dataset that include city feature but it's just 4 cites
and I have front feature which is ( north, west, east, south )
this is Ordinal right ??

RK-robr

Data Preprocessing 07: Ordinal Encoding Sklearn | Machine Learning | Python

Data Preprocessing 07: Ordinal Encoding Sklearn | Machine Learning | Python

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