Feature Scaling

The Objective Transforming the Target Variable There are three problems that can occur in a machine learning project that we can tackle by transforming the target variable:1) Improve the results of a machine learning model when the target variable is skewed.2) Reduce the impact of outliers in the target variable3) Using the mean absolute error … Read more

In machine learning, feature transformation is a common technique used to improve the accuracy of models. One of the reasons for transformation is to handle skewed data, which can negatively affect the performance of many machine learning algorithms.In this article, you Programming Example for Feature Transformation For this article, I programmed an example to work … Read more