Update README

easy/Implement_Ridge_Regression_Loss_Function/README.md

@@ -48,8 +48,10 @@ Ridge Regression is a linear regression method with a regularization term to pre
 
 The Ridge Loss function combines MSE and the penalty term:
 
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 $$L(\beta) = \frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y}_i)^2 + \alpha \sum_{j=1}^{p} \beta_j^2$$
 
+
 Where:
 - $n$ is the number of samples
 - $y_i$ is the true value for the $i$-th sample