In relation to machine learning, linear regression is defined as a predictive modeling technique that allows us to build a…
In this blog post, we'll be discussing correlation concepts, matrix & heatmap using Seaborn. For those of you who aren't…
There are many clustering machine learning algorithms to choose from when you want to cluster data. But which one should…
Realizing value from AI/data science or machine learning projects requires the coordination of many different teams based on an appropriate…
When it comes to data science, there are two main types of reasoning that you need to be familiar with:…
Time-series machine learning models are becoming increasingly popular due to the large volume of data that is now available. These…
Alteryx is a self-service data analytics software platform that enables users to easily prep, blend, and analyze data all in…
Business analytics is a business function that has been around for years, but it's only recently gained traction as one…
This page lists down 40 regression (linear/univariate, multiple/multilinear/multivariate) interview questions (in form of objective questions) which may prove to be…
The data science field is growing rapidly and data scientists are in high demand. If you want to enter this…
One sample Z-test for means is one of the statistical techniques used for testing hypothesis related to whether the sample…
Z-tests are statistical hypothesis testing techniques that are used to determine whether the null hypothesis relating to comparing sample means…
One proportion z-test or one-sample Z-test for proportion is one of the most popular statistical hypothesis tests dealing with one…
In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs)…
In this post, you will learn the concepts of Z-Score with the help from examples including Christiano Ronaldo and Robert…
In this post, you will learn about some of the common success metrics that can be used for measuring the…