In the artificial intelligence (AI) / machine learning (ML) powered world where predictive models have started getting used more often…
Geometric Distribution, a widely used concept in probability theory, is used to represent the probability of achieving success or failure…
As organizations become increasingly data-driven, understanding the value of data is critical for success. The data value chain framework helps…
Key performance indicators (KPIs) are important for any organization. They measure the success or failure of initiatives, projects and products…
Data analysis plays an important role in understanding the world, discovering trends, and making decisions. Having a good understanding of…
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…