Love seeing complex ML concepts broken down to fundamentals! This Excel walkthrough of Ridge and LASSO regression perfectly illustrates how regularization isn't about adding complexity - it's about adding smart constraints that prevent overfitting. Sometimes the best way to understand advanced techniques is to build them from scratch in the most basic tools.
Love seeing complex ML concepts broken down to fundamentals! 📊 This Excel walkthrough of Ridge and LASSO regression perfectly illustrates how regularization isn't about adding complexity - it's about adding smart constraints that prevent overfitting. Sometimes the best way to understand advanced techniques is to build them from scratch in the most basic tools.
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Le
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