Hello Internet, in this tutorial we are going to learn how to apply Filters and Edge Detection on images using OpenCV. In today’s computer vision world, extracting meaningful features from images is crucial for tasks like object detection, recognition, and scene understanding. Two fundamental techniques that make this possible are image filtering and edge detection. …
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Hello Internet, today I am going to teach you how to work with python’s built-in-map and filter Function. When working with lists or other iterable data structures in Python, we often need to perform operations on every item or extract only the items that meet a certain condition. While loops and list comprehensions are popular …
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Hello Internet, in this tutorial we are going to learn how to read and write csv files with the help of Pandas DataFrame. In the world of data analysis, working with structured datasets is essential, and CSV (Comma-Separated Values) files are one of the most common formats used for storing and exchanging tabular data. Whether …
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Introduction End-to-End Encryption (E2EE) ensures that data is encrypted by the sender and decrypted only by the receiver. This blog demonstrates how to implement secure encryption using the PyCryptodome library in Python. Table of Contents Introduction What is E2EE? Installing PyCryptodome AES Encryption Example Sample Code Use Cases Conclusion What is E2EE? End-to-End Encryption prevents …
Implementing End-to-End Encryption Using PyCryptodome Read More »
Introduction Decorators in Python are used to modify or extend the behavior of functions and methods. While basic decorators are useful, decorators with arguments unlock powerful patterns such as retry mechanisms, logging, and custom validations. Table of Contents Introduction Basics of Decorators Writing Decorators with Arguments Sample Code Use Cases Conclusion Basics of Decorators A …
Introduction In Python, classes themselves are objects. This opens the door for dynamic class creation during runtime using the built-in type() function. This powerful feature is useful for metaprogramming, plugin systems, and scenarios where class definitions are generated programmatically. Table of Contents Introduction What is type()? Creating a Class with type() Sample Code Use Cases …
What is NumPy? NumPy is a Python library for arrays. It also has functions for working in algebra, Fourier transforms, and matrices. Travis Oliphant created NumPy in 2005. It is an open-source project, and you can use it freely. It stands for Numerical Python. NP is a Python library written partially in Python, but most …
Now we’ll explore how Canny Edge Detection works and implement it using Python with OpenCV.Edge detection is a fundamental technique in image processing and Computer Vision, used to identify the boundaries of objects within an image. Canny Edge Detection stands out as one of the most robust and widely used techniques among the various edge …
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Handling missing data is a crucial step in data preprocessing. When working with real-world datasets, missing values are common due to various reasons such as data entry errors, sensor malfunctions, or incomplete surveys. If not handled properly, missing data can lead to biased results and reduced accuracy in machine learning models. Ignoring missing data can …
Handling Missing Data: MICE, KNN Imputation, and Interpolation Read More »
Imbalanced datasets are a common challenge in machine learning. This occurs when one class has significantly fewer samples compared to the other, leading to biased models that favor the majority class. Such imbalances can result in misleading accuracy scores, as the model may predict the majority class correctly while failing to identify the minority class …
Handling Imbalanced Datasets with SMOTE, ADASYN & Class Weighing Read More »