How to reduce overfitting is the most important question many machine learning practitioners ask while working on projects. Well, that’s a good question because we all want models that perform well on unseen data. In this article, I’ll walk you through how to reduce overfitting in machine learning models. What is Overfitting in Machine Learning? Overfitting can be defined in different ways. Let’s say, for the sake of simplicity, overfitting is the difference in quality between the results you get on the data available at the time of training and the invisible data. Also, Read – 100+ Machine Learning Projects … Continue reading How to Reduce Overfitting in Machine Learning?