Covariance and Correlation Explained

DataMListic January 7, 2024
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Welcome to DataMListic (former WhyML)! On this channel I explain various ML concepts that I encounter in my learning journey. Enjoy the ride! ;) The best way to support the channel is to share the content. However, If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a

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In this video, we explore the differences between the covariance and the correlation. In short, the covariance tells us the direction of the relationship between two random variables (positive or negative), while the correlation measures both the strength and direction of the relationship between two random variables. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Eigendecomposition Explained: https://youtu.be/ihUr2LbdYlE Multivariate Normal (Gaussian) Distribution Explained: https://youtu.be/UVvuwv-ne1I The Bessel's Correction: https://youtu.be/E3_408q1mjo Gradient Boosting with Regression Trees Explained: https://youtu.be/lOwsMpdjxog P-Values Explained: https://youtu.be/IZUfbRvsZ9w Kabsch-Umeyama Algorithm: https://youtu.be/nCs_e6fP7Jo *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:07 - Covariance 02:29 - Correlation 04:16 - Outro *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic https://twitter.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #covariance #correlation #statistics