Machine Learning, Statistics, Data Science, Regression, Data Analysis.
Regularization in machine learning is like adding constraints to prevent a model from becoming too complex. It’s like having guardrails on a road to keep a car from veering off course. This helps prevent overfitting, where the model memorizes the training data instead of learning patterns.