The ability to manage large amounts of potential predictor variables, fine-tuning the model to choose the best predictor variables from the available options. It's faster than other automatic model-selection methods. What is Stepwise Regression? Types of Stepwise Regression Example Stepwise regression analysi How Stepwise Regression...

Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point. Kurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution. Introduction to Skewness vs Kurtosis Comparison...

React Context is a method to pass props from parent to child component(s), by storing the props in a store(similar in Redux) and using these props from the store by child component(s) without actually passing them manually at each level of the component tree. Introduction to Context in React After you use context react How do I use React...

ServiceNow Workflow automates multi‑step processes that occur between any combination of people and systems to help companies achieve better business outcomes. Introduction What is a ServiceNow Workflow? When to utilize Workflows Getting everything rolling...

The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. Introduction How can it function? ...

A virtual instrument consists of an industry-standard computer or workstation equipped with powerful application software, cost-effective hardware such as plug-in boards, and driver software, which together perform the functions of traditional instruments. Introduction Virtual Instrumentation Virtual Instruments Vs Traditional Instruments ...

Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions Introduction What is RPA? What undertakings does RPA best mechanize? What sorts of RPA undertakings are offering some benefit? Who can turn into a RPA designer? Individual obligations and...

Introduction to Employee Satisfaction for the Organization Job Satisfaction Factors Job Description and Responsibilities Measuring Employee Satisfaction Importance and Benefits of Employee Satisfaction Why is employee satisfaction important for an organization? Employee Satisfaction Ideas ...

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Introduction What is Data Science? What is...

A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier") on a set of test data for which the true values are known. Introduction to Confusion Matrix Confusion Matrix of True Positive Confusion Matrix of False Negative Confusion Matrix of False Positive Confusion Matrix of...