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Types of Boosting Algorithm in Tamil | Conceptualization | Machine learning #35

In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine learning algorithms that convert weak learners to strong ones If you missed our previous Data analysis and Data Visualization videos. Kindly go through the link below ----------------------------------------------------------------------------------------------------------------------- Introduction to Data Visualization in Tamil    • Introduction to Data visualization in...   Introduction to Data Analysis in Tamil    • Introduction to Data Analysis in Tami...   Data Analysis and Data Visualization playlist in Tamil    • Introduction to Data Analysis in Tami...   Download the lecture notes in Github https://github.com/learnwithme4998/Ma... Machine learning Preprocessing Playlist in Tamil    / playlistlist=pl18h92un0f0bm1aw9_tgk1nrp9ro...   ------------------------------------------------------------------------------------------------------------------------- My channel publishes videos that focus on machine learning🧮,data analytics 📈 and much more. If that sounds like it could be helpful for you, please join me!🤝🏻 Show your support to take this channel to next level 🔥❤️ Click the bell icon to get notified for new videos 🔔 drop your doubts in the comment section 📩 Where else you can find me: Instagram:🖥️ https://instagram.com/learn__with__me... Credits:🤓 All the images and files used are open source. Nothing Belongs to me. Disclaimer:🚨 Information provided in these videos are for education purpose only. All the content is made by myself and copyright protected. Kindly do not misuse them in any way. I'll tell what I know, you tell what you know. Let's us share our knowledge. Welcome to LWM (learn with me) - Tamil #Boostingalgorithm #Types #Tamil #LWM #youtube #dataanalysis #datavisualization #videolectures #technology #learning #Handson #artificialintelligence thanks in advance!!!☑️

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