Overfitting, Underfitting & Regularization | Machine Learning in Tamil - Part 22 | #52
In this video, I discuss Overfitting, Underfitting issues in Parametric Models and Tree Models. The video also discusses the L1, L2 regularization, dropout, early stopping, pruning methods to solve the overfitting issue. காத்திருந்த அனைத்து நல்ல உள்ளங்களுக்கும் கோட்டான கோட்டி நன்றிகள் !!! Links http://leadingindia.ai/ http://sridharjs.com/ http://github.com/sridarah/majaamatrix/
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Hands on: Regularization for Tree & Parametric Models | Machine Learning in Tamil - Part 23 | #53
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Regularization Lasso vs Ridge vs Elastic Net Overfitting Underfitting Bias & Variance Mahesh Huddar
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What? Why? How? of Overfitting & Underfitting in Tamil #machinelearningintamil #datasciencetamil
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Naive Bayes Classification Model | Machine Learning in Tamil - Part 24 | #54
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k-Nearest Neighbors Model | Machine Learning in Tamil - Part 25 | #55
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Ridge Regression - Regularization PART1 - Explained in Tamil #machinelearning
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Bias and Variance in Tamil | Optimization | Underfitting | Overfitting | Machine Learning
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Feature Selection | Machine Learning in Tamil - Part 35 | #65
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Reducing variance through Regularisation in Tamil | Ridge Regression | Machine Learning
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