pros and cons of using lasso regression

 https://www.dataspoof.info/post/lasso-regression-in-r/

Regularization in terms of machine learning is a very important factor that is used for avoiding the overfitting of data which occurs when the training data and the testing data vary too much.

Comments

Post a Comment

Popular posts from this blog

decision tree in r

 https://www.dataspoof.info/post/category/big-data/ When Hadoop word comes to mind instantly, one more word also comes side by side in mind which is big data. Big data means a very large amount of data.…
Read more

Advantages and disadvantages of using the Ridge Regression

 https://www.dataspoof.info/post/polynomial-regression-in-r/ In this article, we are going to look at how the polynomial regression is of assistance to us while we are working with the machine learning projects with the help of R. We have also studied how linear regression is useful to us while dealing with various machine learning problems
Read more

decision tree in r

  https://www.dataspoof.info/post/decision-tree-classification-in-r/ Decision trees are one of the most basic and widely used machine learning algorithms, which fall under supervised machine learning techniques. Decision trees can handle both regression and classification tasks, and therefore learning decision trees is a must for those who aspire to be data scientists.
Read more