Author: Shubh Tripathi

The Era of Software Engineering and how to become one

Today’s world is also known as the world of software with its builders known as Software Engineers. It’s on them that today we are interacting with each other because the webpage on which you are reading this blog, the web browser displaying this webpage, and the operating system to run the web browser are all made by a software engineer.

In today’s blog, we will start by introducing software engineering and will discuss its history, scope, and types. Then we will compare different types of software engineers on the basis of their demand in the industry. After that, we will discuss on full-stack developer job role and responsibilities and will also discuss key skills and the hiring process for a full-stack developer in detail.

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Classification metrics and their Use Cases


In this blog, we will discuss about commonly used classification metrics. We will be covering Accuracy Score, Confusion Matrix, Precision, Recall, F-Score, ROC-AUC and will then learn how to extend them to the multi-class classification. We will also discuss in which scenarios, which metric will be most suitable to use.

First let’s understand some important terms used throughout the blog-

True Positive (TP): When you predict an observation belongs to a class and it actually does belong to that class.

True Negative (TN): When you predict an observation does not belong to a class and it actually does not belong to that class.

False Positive (FP): When you predict an observation belongs to a class and it actually does not belong to that class.

False Negative(FN): When you predict an observation does not belong to a class and it actually does belong to that class.

All classification metrics work on these four terms. Let’s start understanding classification metrics-

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