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TS POLYCET 2025 - Application date and process for applying

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TS POLYCET 2025 - Complete Guide TS POLYCET 2025 - Complete Guide The Telangana State Polytechnic Common Entrance Test (TS POLYCET) 2025 is a state-level examination conducted by the State Board of Technical Education and Training (SBTET), Telangana. This exam serves as a gateway for students seeking admission into various diploma courses in engineering and non-engineering fields offered by government and private polytechnic institutions across Telangana. Key Dates and Registration Process Registration starts: March 18, 2025 Last date to apply: April 19, 2025 Exam Date: May 13, 2025 Candidates can apply online through the official website: polycet.sbtet.telangana.gov.in Eligibility Criteria Must be an Indian citizen and a resident of Telangana or Andhra Pradesh. Should have passed the SSC (Class 10) examination from a recognized board. No age restriction ...
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Machine Learning - Unsupervised learning

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Unsupervised Learning Unsupervised Learning Definition Unsupervised learning is a type of machine learning where the model is trained on a dataset without labeled outputs. The goal is to find hidden patterns, structures, or relationships within the data. Unlike supervised learning, unsupervised learning works with raw, unstructured data and organizes it into meaningful groups or representations. Key Characteristics No labeled data is provided. The model identifies patterns and structures on its own. It is used for tasks like clustering, dimensionality reduction, and anomaly detection. Common Applications Clustering: Grouping similar data points together (e.g., customer segmentation). Dimensionality Reduction: Reducing the number of features while preserving important information (e.g., PCA for visualization). Anomaly Detectio...
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Image Segmentation In Image Processing

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Image Segmentation Image Segmentation Introduction Image segmentation is a fundamental process in computer vision and image processing that partitions an image into multiple segments or regions. Each segment corresponds to a distinct object or part of the image, making it easier to analyze and interpret. Segmentation is widely used in applications like object detection, medical imaging, and autonomous driving. Classification of Image Segmentation Algorithms Region-Based Segmentation: Divides an image based on pixel intensity and connectivity. Example: Region growing, split-and-merge. Edge-Based Segmentation: Detects boundaries between regions using edge detection techniques. Clustering-Based Segmentation: Groups pixels based on similarity measures. Example: K-means clustering, mean-shift. Thresholding-Based Segmentation: Separates regions based on intensity thresholds. ...
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Python for Beginners

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Introduction to Python Introduction to Python Python is a high-level, interpreted programming language created by Guido van Rossum and released in 1991 . It is widely used in web development, data science, AI, automation, and more. 1️⃣ Why Learn Python? ✅ Beginner-Friendly – Easy to learn syntax. ✅ Versatile – Used in web development, AI, and more. ✅ Interpreted – Runs code line by line. ✅ Huge Community – Large support network. ✅ Cross-Platform – Works on Windows, macOS, Linux. 2️⃣ How to Install Python? Download Python from python.org . Install and check version: python --version Run Python scripts in terminal or use IDEs like PyCharm, VS Code. 3️⃣ Basic Python Concepts 🔹 Printing Output print("Hello, World!") 🔹 Variables and Data Types name = "Alice" age...
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crypto converter and calculator

Crypto Converter Crypto Converter Cryptocurrency: Select cryptocurrency Currency: US Dollar (USD) Euro (EUR) British Pound (GBP) Japanese Yen (JPY) Chinese Yuan (CNY) Indian Rupee (INR) Australian Dollar (AUD) Canadian Dollar (CAD) Swiss Franc (CHF) Amount: Convert
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FUNDAMENTALS OF IMAGE PROCESSING

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Introduction to Image Processing Introduction to Image Processing Image processing is the method of digitized image manipulation and analysis to improve, modify, or retrieve information from images. It involves a broad spectrum of operations from basic procedures such as image resizing and rotation to sophisticated procedures such as object detection, pattern recognition, and image segmentation. Key Concepts in Image Processing: Digital Images: An image is a two-dimensional collection of pixels, and each pixel contains a particular value that represents a color or intensity. Images can be stored in different color models like grayscale, RGB (Red, Green, Blue), CMYK (Cyan, Magenta, Yellow, Black), etc. Image Enhancement: Methods to enhance the visual quality of an image or emphasize significant features. Typical methods are contrast stretching, histogram equalization, noise removal, an...
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