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…
Paired sample t-tests are a commonly used statistical procedure used to compare two populations that are related in some way.…
Hidden Markov models (HMMs) are a type of statistical modeling that has been used for several years. They have been…
The Levene test is used to test for equality of variance in a dataset. It is used in statistical analysis…
Data analysis is a crucial part of any business or organization. It helps make decisions and assists in strategy development.…
Everyone knows that data visualization is one of the most important tools for any data scientist or statistician. It helps…
In this post, you will learn the definition of 25 different types of probability distributions. Probability distributions play an important…
In data science, variables are the building blocks of any analysis. They allow us to group, compare, and contrast data…