#Python
RJ Studio’s 36th video shows how to perform simple EDA using Python.
I load the data in Pandas dataframe, check for missing values, and then create a correlation matrix!
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A lot of explanation I use in this video is from a book titled, "Python Machine Learning" by Wei-Meng Lee. I am going through Chapter 6.
In this video, I found out that 'LSTAT' and 'RM' (x-variables) are most correlated with 'HPrice' (y-variable).
In the next video, I will draw simple 2D, 3D scatter plots using 'HPrice', 'LSTAT', 'RM' variables.
For my background music, I am playing “Sweet but Psycho" by Ava Max on my Piano. Check out my YouTube video • Sweet but Psycho – Ava Max 👧🏻🤖 Piano Cover
Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)
파이썬으로 간단한 데이터 분석에 관한 영상을 만들어 보았습니다 ≧◡≦
결측값 여부 확인, 상관관계 분석을 해보았습니다.
유익한 정보이었길 바랄게요~ 감사합니다.
“In teaching others, we teach ourselves.”
LinkedIn: / rj-lee
On this page of the site you can watch the video online #Python with a duration of hours minute second in good quality, which was uploaded by the user RJ Studio 20 November 2021, share the link with friends and acquaintances, this video has already been watched 222 times on youtube and it was liked by 7 viewers. Enjoy your viewing!
