Handling Missing Data in Python: Simple Imputer in Python for Machine Learning

[@RyanAndMattDataScience]

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at [e-mail] *Both Datacamp and Stratascratch are affiliate links.

[@RyanAndMattDataScience]

Wanted to leave a comment and mention most frequent can be used also for categorical data, mistake on my part when recording

[@DataScienceconMilton]

Thank you for making a very helpful video. The examples were very clear and easy to grasp the main ideas.

[@RyanAndMattDataScience]

No problem

[@WrongDescription]

Thanks a lot...you deserve a lot of views in this channel!

[@jerichokatende8151]

Clear explanation thanks alot

[@RyanAndMattDataScience]

No problem

[@starlettesupernova6653]

Hi ryan! Your videos are really useful and you make every concept much simpler. Thank you so much!

[@RyanAndMattDataScience]

No problem

[@HediyeSılaÖzyurt]

I couldn't find that csv file on your github profile :'( could you help?

[@dgallas]

Great videos. Great playlist. Congratulations. Do you recommend any data visualisation playlists and videos, focused on matplotlib and seaborn? Thank you!

[@RyanAndMattDataScience]

I have a seaborn video and my other ML vids use both

[@kamranzamanni6826]

Been following along with all your videos, but couldn't find file used in this video or named 'simple_imputer_csv.csv'.

[@nemuccio1]

Hi, I can't find the simple_imputer.csv file. where can I download it? Thank you

[@118bone]

Great videos! just a bit of feedback, please use dark mode, the white screen is blinding

[@pothalasrikanth8202]

I can't able to import the simple imputer it geting the error by packages

[@Larnelled]

W scikit walkthroughs

[@RyanAndMattDataScience]

Thanks we are still working on expanding it out

[@arulkumaransendilvel6853]

nice

[@hosseiniphysics8346]

tnx

[@RyanAndMattDataScience]

Np