Master StandardScaler & OneHotEncoder in Python for Data Preprocessing 🚀

RJ Studio’s 104th video is introducing 2 very commonly used preprocessors: StandardScaler & OneHotEncoder ✨
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If you are studying data-related topics, you may have to standardize / one-hot encode your data quite frequently.

For such cases, sklearn's StandardScaler & OneHotEncoder are commonly used tools! 🚀

OneHotEncoder saves data in CSR format by default. I made a YouTube video on CSR format some time ago. Here is the link to it:
https://youtu.be/h_uk0rPeb10


☆ Video Chapters ☆
0:00 Intro
0:33 StandardScaler
2:31 OneHotEncoder
5:18 Outro


Please check my GitHub for code: https://github.com/rjlee13/RJStudio_GH

Python logo in the thumbnail is from https://www.python.org/community/logos/

scikit-learn logo in the thumbnail is from https://github.com/scikit-learn/scikit-learn/blob/main/doc/logos/scikit-learn-logo.png

For the background music, I used "All Falls Down" by Alan Walker
^‿^


Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)


이번 비디오는 머신러닝 라이브러리 사이킷런을 사용한 데이터 전처리에 대한 영상입니다. ≧◡≦
표준화 방법과 원핫인코딩에 대하여 설명합니다.
유익한 정보이길 바랄게요~ 감사합니다.


“In teaching others, we teach ourselves.”

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LinkedIn: https://www.linkedin.com/in/rj-lee/