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Dhairya PatelNov 11, 2025 · 2 min read

Day 17 – Understanding Support Vector Machines (SVMs)

Hey everyone 👋 Dhairya here, Today, I explored Support Vector Machines (SVMs) — a powerful algorithm that can classify data by finding the best possible boundary between classes. After spending the last few days learning about ensemble methods and b...

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UplatzOct 11, 2025 · 2 min read

🏷 AI Models Explained: Support Vector Machines (SVM)

📖 Support Vector Machines (SVM) are powerful supervised learning algorithms that separate data into categories using the best possible boundary — called a hyperplane. They’re highly effective for classification, regression, and even outlier detectio...

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Dipti MSep 15, 2025 · 6 min read

SVR in R: Build Accurate Regression Models Step by Step

Regression is one of the most widely used techniques in statistics and machine learning. It helps us understand how variables relate to each other and, more importantly, allows us to make predictions. While simple methods like Simple Linear Regressio...

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Yacine PetitprezSep 1, 2025 · 4 min read

Protecting Sensitive Data

The AI revolution has created a paradox for companies handling sensitive data. We need the power of advanced language models, but we can't risk exposing confidential information. For Ingedata, working with healthcare and defense clients, this isn't j...

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Tilak SavaniJul 11, 2025 · 4 min read

🧠 Support Vector Machines (SVM): The Margin Masters of Machine Learning

“SVM doesn’t just separate classes — it finds the best boundary possible.” — Tilak Savani 🧠 Introduction When it comes to classification tasks, Support Vector Machines (SVM) are one of the most powerful and accurate algorithms. Whether you’re sep...

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kirubel AwokeMay 13, 2025 · 6 min read

Support Vector Machine and Math behind it

Support vector machine is a machine learning algorithm used for classification and regression. SVM uses hyperplane to separate data into groups maximizing the distances between the closest points (vectors) for each class (group). In machine learning,...

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Nischal BaidarApr 19, 2025 · 3 min read

Comparing ML Classifiers for Sonar Data: Which One Works Best?

Introduction: In the world of machine learning, selecting the right model for your dataset can often feel like a game of trial and error. For this blog, I’m diving into the Sonar rock vs mine classification problem, where I tested various machine lea...

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govinda takNov 28, 2024 · 3 min read

Comparative Study: PCA & Classification in Breast Cancer Detection

PCA-Based Classification for Breast Cancer Detection Early detection of breast cancer can significantly improve patient outcomes, making accurate diagnostic tools essential. Machine learning (ML) has revolutionized medical diagnostics by providing p...

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Maen AlarajOct 11, 2024 · 3 min read

What is Support Vector Machine (SVM)?

What is the meaning of the Support Vector Machine (SVM) algorithm in the field of Machine Learning (ML)? How can I improve the accuracy of SVM? What exactly is meant by the term "Hyperplane" used in this algorithm? Can we apply this algorithm in neur...

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Pronod BharatiyaSep 11, 2024 · 9 min read

Optimization and Duality: Key Concepts for Understanding Support Vector Machines

Optimization lies at the heart of various real-world problems, from maximizing profits to minimizing resource usage. In this blog, we’ll delve into the world of optimization and duality, exploring their significance and application. We’ll use example...

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