How to convert categorical data to numerical data in machine learning (2 methods)

This video explains how to convert categorical data to numberical data in machine learning (data science). Two methods, namely, one-hot-encoding and integer encoding have been explained clearly using very simple examples. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :)

[@felipegomes8313]

You´re such a great teacher! Congrats!

[@techdose4u]

Thanks

[@python8358]

Thanks but you need a writing pad.

[@techdose4u]

Yea right. I got one :)

[@hectore.zarraga7605]

thank you this was super helpful

[@quiet8691]

thanks

[@onkarkolekar7911]

Hello can you give me the syntax for the first integer coding example

[@TalksWithGift]

Kindly may I ask what is the name of the software you are using?

[@elanza48]

numerical data like gender as (0,1) are also called as categorical data which is also not fit for mechine learning how to deal with that ?

[@techdose4u]

This should help you :) www.analyticsvidhya.com/blog/2015/11/easy-methods-deal-categorical-variables-predictive-modeling/

[@omobolajiayomideodegbesan6476]

How do I label Likert scale dataset to be used in machine learning

[@a_sun5941]

question: is zip code ordinal, can we consider zipcode as numeric variable directly ?

[@hecker8448]

nope, zip code is not ordinal

[@alonarmenca5364]

Can I Combine the 2 methods in a same Data set ? forexample use one for some variables and the other one for others?

[@techdose4u]

Try it and see. I did not try it. I generally either use categorical data. Let me know

[@thebible913]

Thnks alot

[@a_sun5941]

you may want a better writing board

[@techdose4u]

I have it now my friend :)