It is no secret that data is an essential component in the day-to-day operations of businesses—as well as the decision…
Machine learning models are often trained with a variety of different methods in order to create a more accurate prediction.…
The Classification and Regression Tree (CART) is a supervised machine learning algorithm used for classification, regression. In this blog, we…
Decision tree is one of the most commonly used machine learning algorithms which can be used for solving both classification…
The two-way analysis of variance (ANOVA) test is a powerful tool for analyzing data and uncovering relationships between a dependent…
In statistics, population and sample are two fundamental concepts that help us to better understand data. A population is a…
Account receivables (AR) account for a significant portion of total assets and revenue. However, the account receivable process is typically…
Bayesian thinking is a powerful way of looking at the world, and it can be useful in many real-life situations.…
Understanding the differences between true error and sample error is an important aspect of data science. In this blog post,…
In this post, you will learn about the statistics concepts of confidence intervals in relation to machine learning models with…