Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
for making accurate and reliable predictions. Each regression model is equipped with its strengths, weaknesses, and assumptions about the data, and choosing the wrong model can lead to misleading results, or at the very least, sub-optimal predictions. Several factors should be considered when