Google workspace is a software that allows all different google apps, such as Gmail, Google Drive, Docs, meet, etc., all in one system. It provides additional software that is very useful for businesses. It is made for helping businesses get tasks done quicker and more efficiently by increasing convenience, communication, and organization for employees. Here
How we can use Feature Engineering Techniques for Better Result Feature engineering is one of the key steps in developing machine learning models. This involves any of the processes of selecting, aggregating, or extracting features from raw data with the aim of mapping the raw data to machine learning features. Fig. 1 Mapping raw data to machine learning
INTRODUCTION: You must be wondering about the word SAFe in the main header SAFe is basically – SCALED AGILE FRAMEWORK. Now, what is AGILE? An Agile framework, in simple terms, can be defined as an unambiguous software-development approach based on the agile philosophy articulated in the Agile manifesto. SAFe is just like a template for scaling agile principles and tools to large organizations. SAFe is
