Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! This post continues the series of posts on performance measures. In our previous article we talked about Cohen’s Kappa. In this post we will talk about the concordance correlation coefficient. ...

Robotic Process Automation has revolutionised the way organisations streamline their workflows and increase operational efficiency. These bots automate repetitive tasks, reduce human errors, and enhance productivity. However, ensuring the efficiency and reliability of RPA bots requires thorough testing. RPA testing is a critical process that validates these bots’ functionality, performance, ...

Version 1.0.0 of the new Python package for model-diagnostics was just released on PyPI.

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! To maintain long-term quality assurance in software development, regression testing is essential. It is an essential procedure for ensuring that changes or upgrades to an application have not resulted in any ...

To maintain long-term quality assurance in software development, regression testing is essential. It is an essential procedure for ensuring that changes or upgrades to an application have not resulted in any unforeseen consequences or flaws. The fundamental methods and recommended procedures for regression testing are discussed in this article. Software ...

Introduction In the era of big data, organizations across various industries are harnessing the power of data science to gain valuable insights. Integration and differentiation, which are foundational concepts in calculus, serve as powerful tools for analyzing and interpreting complex datasets. By applying integration and differentiation techniques, data scientists can ...

Introduction In the era of big data, organizations across various industries are harnessing the power of data science to gain valuable insights. Integration and differentiation, which are foundational concepts in calculus, serve as powerful tools for analyzing and interpreting complex datasets. By applying integration and differentiation techniques, data scientists can ...

Data is being generated at a rapid rate. From Large scale to small-scale businesses and individuals, everyone is generating data. In order to make the most of it, each and every single aspect of data needs to be analyzed. This is where “data analytics” comes in. Data analytics uses the ...