The article introduces Lasso and Ridge Regression methods as alternatives to traditional regression for better prediction accuracy. Lasso adds bias to improve predictions, while Ridge introduces a small bias for long-term accuracy. These methods are helpful when dealing with multicollinearity, a common issue in data analysis. The study used Covid-19 data to compare the methods, finding that Lasso outperformed Ridge and traditional regression in terms of prediction accuracy.