Creating Histograms with Plotly in Python

Plotly is a powerful Python library for creating visually appealing and interactive data visualizations. Histograms are a fundamental type of visualization used to represent the distribution of data. This tutorial will guide you through creating interactive histograms with Plotly, enabling you to effectively explore and understand your data’s distribution. Understanding Histograms A histogram is a Continue reading

Adaptive Thresholding with OpenCV

OpenCV (Open Source Computer Vision Library) provides powerful tools for image processing and analysis. Adaptive thresholding is a technique used to binarize images, separating objects from the background, especially when the lighting conditions are uneven or variable. We’ll explore how to use OpenCV’s adaptive thresholding to enhance image segmentation and improve the accuracy of object Continue reading

Image Blending with OpenCV’s addWeighted Function

We’ll explore how to use OpenCV’s addWeighted function to blend images with different weights. Understanding Image Blending Image blending, also known as image compositing, involves combining two or more images by assigning different weights to each pixel. This technique is useful for various applications, including: Image Merging: Combining two or more images into a single Continue reading

Multiple Regression with NumPy

NumPy provides powerful tools for performing multiple linear regression, a statistical method used to model the relationship between a dependent variable and two or more independent variables. This guide will explain the key concepts of multiple regression and demonstrate how to implement it efficiently using NumPy.