Convert Ordinal Data into Numeric Values | Data Preprocessing | Machine Learning | Data Magic

Hello Friends,
In this video, I will talk about how we can handle the ordinal data in our data preprocessing stage. Ho we can convert our ordinal feature values into continuous or Numeric values.
Convert Ordinal Data into Numeric Values | Data Preprocessing | Machine Learning | Data Magic | Convert Ordinal Data into Continuous Values
#ordinalData #ContinuousValues #datamagic
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[@hamzarageh463]

i have question you just use one column to covert it to numeric what if i have more than one column want to covert it

[@force_user255]

your videos are awesome and it's saving my life, thank you so much !
:)

[@DataMagicAI]

Thank you so much for you kind words. It motivates me to add more content for you Guyz..

[@herambgaidhani297]

Its really a magic..
Is it working like ordinal encoding..right?
Thanks a lot

[@DataMagicAI]

Yes, your welcome !

[@theodore4143]

Thanks its really help me...looking forward to some M.L topics

[@DataMagicAI]

Glad ! you find it helpful...

[@TauroChuck]

That was helpful.

[@DataMagicAI]

Glad to hear!

[@ashmitsharma6814]

Thanks bro it helped me a lot!

[@DataMagicAI]

Enjoy👍

[@Krishna.369.]

Thank you 🙏

[@DataMagicAI]

Your welcome!

[@Ash-bc8vw]

Which libraries did you use?

[@DataMagicAI]

Numpy and pandas

[@sakshishejwal1746]

Sir if we want to convert more than two columns then how we will do it?

[@DataMagicAI]

You can do one by one...

[@sakshishejwal3443]

@@DataMagicAI ok

[@munibamukhdoomi950]

But ML understands 0 and 1 only... How can it get this 1234 series? Please explain

[@sandeepsrinivas7040]

Hii brother tnx for the video and i really appericiate for the efforts for creating video .i want to request to create github link for the data you used in the video

[@bhargavichowdary4999]

tq🥰🥰

[@DataMagicAI]

Your welcome!

[@padmaadla2767]

how we can convert multiple columns at a time..

[@DataMagicAI]

Write simple for loop and process each column.

[@BlackM453]

Thank you 💓

[@DataMagicAI]

Your welcome