Statistics for Data Science Course 【Part 4 : Shape and Correlation】

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  • čas přidán 24. 06. 2024
  • Basic Statistics Tutorial on Statistics of Shape and Correlation
    📊 Welcome to our Statistics for Data Science tutorial!
    This tutorial is designed for statistics beginners who want to enhance their knowledge of statistics for data science and AI in their future studies. In this session, we'll explore a few key concepts in statistics, including skewness and kurtosis alongside covariance and correlation coefficient.
    This is the 4th tutorial of our "Basic Statistics Tutorial" series. Tomorrow, we'll release part 5 of the lecture. Be sure to show your support by liking this video and subscribing to our channel, MetaCode!
    🧾 Contents:
    00:00:00 Skewness
    00:05:13 Kurtosis
    00:05:53 Correlation
    00:08:13 Covariance
    00:08:58 Correlation Coefficient
    00:12:59 Practice Problem
    #statistics #datascience #correlation

Komentáře • 2

  • @metacodeMG
    @metacodeMG  Před měsícem

    🔥If you need to download course materials, please contact us via email at h.metacode@gmail.com
    📩 Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.

  • @metacodeMG
    @metacodeMG  Před měsícem +1

    🔥Check out other parts of our statistics tutorial!
    Full Lecture: czcams.com/video/maRJpOJHwdE/video.html
    Part 1: czcams.com/video/zSItFDTcAU8/video.html
    Part 2: czcams.com/video/agUSAQsbiLE/video.html
    Part 3: czcams.com/video/uR8PK9L8tno/video.html
    Part 4: czcams.com/video/ZJ_8bdfzGDY/video.html
    Part 5: czcams.com/video/sdQRrHze92w/video.html
    Part 6: czcams.com/video/ukBC1CB-dOg/video.html
    Part 7: czcams.com/video/6kWnKhe4hIE/video.html
    Part 8: czcams.com/video/Eh7GWIzNgms/video.html
    Part 9: czcams.com/video/0tn0M1YujP0/video.html
    🤖Check out our linear algebra tutorial!
    Full Lecture: czcams.com/video/3Bf9oh7nkus/video.html