How to detect and treat outliers

How to detect and treat outliers

In this article, we are going to understand in-depth and detail about outlier-Statistical and Programming approaches, how to detect and treat outliers so that they won’t screw up the model performance. So read this article till the end, you will…

 Bias Variance trade off

Bias Variance trade off

To solve the mystery of bias-variance trade off, we need to first understand what is meant by bias and variance in data science. Why it is so important for analysis of machine learning model. Does it create any issue while…

 Regularization Techniques

Regularization Techniques

As you know, the literal meaning of regularization is to manage or control things. The machine learning model also demands regularization sometimes. Through this post, you will be able to know about what is regularization in machine learning, why does…

 Techniques to handle class imbalance

Techniques to handle class imbalance

In the following post, we have explained the class imbalance problem in classification models and techniques to handle class imbalance problems using python. Machine Learning suffers from various issues. Class Imbalance is one of them. But do not worry! We’ll…