Author name: Muhammad Usman

Hello all of you hope you are doing well in your life i am Muhammad Usman student at BAHRIA UNIVERSITY KARACHI CAMPUS studying software engineering i am interested in doing programming in different programming languages i.e PYTHON I like most , C# , C++ , JAVA HTML , CSS etc so i will promise you to produce quality content for you the thing i need from you is your support and this will motivate me. My moto is : BINDING NATION THROGH EDUCATION.

Python Regular Expression Split

Python Regular Expression Split

Introduction to Python Regular Expression Split Now in today’s article we are discussing Python regular expression split function, Which is a powerful tool for efficient string manipulation. This article divided into various aspects of using re.split() for different scenarios, along with Python code examples to illustrate each case. if you did not get this topic

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How to Downgrade Python 3.11 to 3.10

How to Downgrade Python 3.11 to 3.10

In the world of programming, staying up-to-date with the latest versions of programming languages is crucial to benefit from enhanced features and security patches. Python, as it is one of the most popular & favored among developer programming languages, time by time releases new versions with more improvement’s. However, there are some situations or conditions

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Evaluating Classifier Performance

How to Measure Classifier Performance

In the realm of machine learning, evaluating the performance of a classifier is of also importance. It helps us gauge how well our model is performing and identifies areas that may require improvement means they are not making true predictions. In this chapter, we will discuss about key model evaluation metrics for classification tasks. Imagine we have a historical dataset from a telecommunication company, predicting customer churn. We’ve trained a classifier and want to assess its accuracy using the test set. Let’s explore the evaluation metrics in detail i hope you like it if you still have any question in end please ask without any hesitation.

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K-Nearest Neighbors Algorithm

What is K-Nearest Neighbors Algorithm

The K-Nearest Neighbors (KNN) algorithm is a powerful tool or you can say algorithm in machine learning for classification and regression tasks. It’s based on the idea that similar data points tend to have similar outcomes. In this chapter we will break down the KNN algorithm into simple steps, explain the concepts, and provide an illustrative example. Additionally, we’ll cover how to choose the right value of ‘K’ and demonstrate the algorithm with Python code so if you may still have any question on this you can comment in comment section please don’t hesitate.

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