ANOVA

Analysis of variance (ANOVA) helps to test for differences among three or more population means. The statistician Ronald Fisher developed

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Confusion Matrix

What Is a Confusion Matrix? A confusion matrix is a popular statistic for resolving classification tasks in machine learning. Typically,

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XGBoost Classifier

What is XGBoost classifier all about? What are its features? Why do people prefer it? We are going to discuss

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Entropy and Information Gain in Decision Tree

Entropy and Information Gain in Decision Tree are classifications of it. Before we get into this, let us understand better

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Understanding Interquartile Range (IQR) in Statistics

Interquartile Range IQR is one of the most important topic that comes under descriptive statistics. This article is going to

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Types of Regression in Machine Learning

In this article, we are going to understand regression analysis, its importance, as well as the types of regression in

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Classification Algorithms in Machine Learning

If you are not very familiar with what role classification algorithms play and where, it is a part of the

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