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In this article I want to explain how algorithms in machine learning are working by going through low level explanation instead of just having a short glance on a high level. In this article I go into detail (including sometimes looking at the math behind these theories) on Classification, Clustering, Linear Regression, Gradient Descent, and using the code in MATLAB.
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💡 Building scalable applications starts with clean architecture. When I first started with Spring Boot, I often wondered: 👉 What’s the best way to structure a project? 👉 Which packages should I create for better maintainability? After working on multiple projects, I realized that a well-structured Spring Boot application isn’t just about writing code — it’s about: ✅ Making the codebase readable ✅ Enabling scalability ✅ Simplifying collaboration in teams Here’s a tried-and-tested structure I...
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