Math

How To Plot SKLearn Confusion Matrix With Labels?

Summary: The best way to plot a Confusion Matrix with labels, is to use the ConfusionMatrixDisplay object from the sklearn.metrics module. Another simple and elegant way is to use the seaborn.heatmap() function. Note: All the solutions provided below have been verified using Python 3.9.0b5. Problem Formulation Imagine the following lists of Actual and Predicted values …

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NumPy Tutorial – Everything You Need to Know to Get Started

This tutorial gives you a simple introduction to Python’s NumPy library. You don’t need any prerequisites to follow the tutorial. My goal was to give a practical and fun NumPy introduction for absolute beginners and with many examples. By reading through this tutorial, you will gain a basic understanding of the most important NumPy functionality. …

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What are the Applications of Graphs in Computer Science?

[Reading time: 9 minutes] Graphs are everywhere. They are used in social networks, the world wide web, biological networks, semantic web, product recommendation engines, mapping services, blockchains, and Bitcoin flow analyses. Furthermore, they’re used to define the flow of computation of software programs, to represent communication networks in distributed systems, and to represent data relationships …

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Numpy Weighted Average np.average(array, axis=0, weights=[0.1,0.1,0.8])

How to Calculate the Weighted Average of a Numpy Array in Python?

Problem Formulation: How to calculate the weighted average of the elements in a NumPy array? Definition weighted average: Each array element has an associated weight. The weighted average is the sum of all array elements, properly weighted, divided by the sum of all weights. Here’s the problem exemplified: Quick solution: Before we discuss the solution …

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How to Calculate the Average of a NumPy 2D Array?

NumPy is a popular Python library for data science focusing on arrays, vectors, and matrices. This article introduces the np.average() function from the NumPy library. When applied to a 1D array, this function returns the average of the array values. When applied to a 2D array, NumPy simply flattens the array. The result is the …

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