Updated index.md (#22280)

* Updated index.md

Added more resources to the article

* Updated index.md

* Added more resources to the article

Moved the lines out of the code block as requested

guide/english/machine-learning/logistic-regression/index.md

@@ -36,6 +36,9 @@ penalizing the learning algorithms are used.
 Cost(hθ(x),y)=−log(hθ(x))           if y = 1
 Cost(hθ(x),y)=−log(1−hθ(x))         if y = 0
 
+Refer to this article for clearing your basics https://www.analyticsvidhya.com/blog/2017/06/a-comprehensive-guide-for-linear-ridge-and-lasso-regression/
+
+
 #### Predictions using logistic regression:
 Logistic regression models the probability of the default class (i.e. the first class).
 You can classify results given by: