Kernel Density Estimation - Explained

YouTube Excerpt: Learn how kernel density estimation (KDE) works with a simple exam score example. We’ll explore how statisticians use kernels, bandwidth, and probability curves to estimate population distributions from small samples. Perfect for students, data science beginners, and anyone curious about statistics and machine learning. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Bayesian Optimization: https://youtu.be/Kq6_kzlwSUQ Hyperparameters Tuning: Grid Search vs Random Search: https://youtu.be/G-fXV-o9QV8 The Kernel Trick: https://youtu.be/N_RQj4OL1mg Cross-Entropy - Explained: https://youtu.be/Fv98vtitmiA Dropout - Explained: https://youtu.be/FDF_Q3_98GQ Overfitting vs Underfitting: https://youtu.be/B9rhzg6_LLw Why Models Overfit and Underfit - The Bias Variance Trade-off: https://youtu.be/5mbX6ITznHk Least Squares vs Maximum Likelihood: https://youtu.be/WCP98USBZ0w XGBoost Explained in Under 3 Minutes: https://youtu.be/33fGfuleXw0 *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:35 - Small sample example 01:46 - Kernel functions 02:45 - Evidence combination 03:40 - Bandwidth parameter 05:15 - Mathematical equation 06:33 - Wrapping up 07:41 - Outro *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic https://twitter.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic 👔 Linkedin: https://www.linkedin.com/company/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 #statistics #datascience #machinelearning #kde #analytics

Learn how kernel density estimation (KDE) works with a simple exam score example. We’ll explore how statisticians use kernels, bandwidth, and...

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