Data Science

Hidden Markov Models: Concepts, Examples

Hidden Markov models (HMMs) are a type of statistical modeling that has been used for several years. They have been…

1 year ago

Levene Test & Statistics: Concepts & Examples

The Levene test is used to test for equality of variance in a dataset. It is used in statistical analysis…

1 year ago

Questions to Ask Before Starting Data Analysis

Data analysis is a crucial part of any business or organization. It helps make decisions and assists in strategy development.…

1 year ago

Overfitting & Underfitting in Machine Learning

The performance of the machine learning models depends upon two key concepts called underfitting and overfitting. In this post, you…

1 year ago

Categorical Data Visualization: Concepts, Examples

Everyone knows that data visualization is one of the most important tools for any data scientist or statistician. It helps…

1 year ago

Types of Probability Distributions: Codes, Examples

In this post, you will learn the definition of 25 different types of probability distributions. Probability distributions play an important…

1 year ago

Data Variables Types & Uses in Data Science

In data science, variables are the building blocks of any analysis. They allow us to group, compare, and contrast data…

1 year ago

Most Common Data Pitfalls to Avoid

Working with data can be a powerful tool, but there are some common pitfalls that a data professionals including data…

1 year ago

Data Science Interview Questions – List

Are you preparing for a data science interview and looking for some common questions that may be asked? Look no…

1 year ago

Instance-based vs Model-based Learning: Differences

Machine learning is a field of artificial intelligence that deals with giving machines the ability to learn without being explicitly…

1 year ago