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In the world of machine learning, one of the first algorithms you would be going through is k nearest neighbor. The algorithm in itself is simple, intuitive, and surprisingly effective. While neural networks turn out to be more complex, machine learning algorithms like k nearest neighbor act almost like humans: they glance around for nearby …
K Nearest Neighbor Algorithm (KNN) Explained – Effective 2025 Guide Read More »
If you have ever arranged books by their subjects, listed friends into different WhatsApp groups, or sorted grocery items by category, then you have already performed something similar to K Means Clustering—only it goes by a different name. In this ultimate guide for beginners, you will know – what K-means clustering is, see how K-means …
What is K Means Clustering? An Effective Guide with Examples (2025) Read More »
The world of machine learning, as described by the theory of knowledge, is analogous to building an intricate puzzle. As a student or a chartered professional, with real-world data, there’s much to ponder and appreciate about hierarchical clustering that enables you to grasp convoluted interactions exhibited not mechanically but visibly and intuitively. What is hierarchical …
Hierarchical Clustering in Machine Learning: 2 Types, Examples, and Python Useful Guide Read More »
Data Science Certifications: The world runs on data. Whether you are a fresh student entering the tech realm or a working professional looking for a career switch, a data science certification can launch your career into the much-in-demand profession of 2025. With industries now more than ever making decisions based on data, certified data science …
Best Data Science Certifications 2025: Chart Your Data Path Read More »
Introduction: Why Learn Tableau? Data drives the world, and visual storytelling is the main tool for making an impression. Tableau has been at the forefront as a prominent player for data analysts and business intelligence professionals. If you are a beginner looking for basic Tableau Interview Questions or an experienced candidate aiming for advanced Tableau …
Important 90+ Tableau Interview Questions to Crack Your Next Data Role Read More »
Principal Component Analysis (PCA): The fast track to viewing the bigger picture. When the dataset came heavy with pieces like an enormous puzzle, PCA would be the shortcut toward seeing the bigger picture. It doesn’t matter if you’re a student whose data science exploration involves PCA as a must-know or a professional dealing with analytics …
R Programming is a mode of interaction with data. Be it any student in the phase of learning analytics or any professional aspiring for career growth, R Programming is the well-equipped companion, assisting him in performing the numerous tasks of handling data into numbers, statistics, and visualizations. Then, what exactly is R Programming? R is …
R Programming Language: A Beginner’s Guide to Analytics & More Read More »
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Gradient Descent, in simple terms with an example, is an approach to improve the cake-baking ability (example task) of a robot. You show the recipe to it, but unfortunately, you don’t understand it right away. It tries again and again by slightly improving itself. That is how machines learn using gradient descent since they make …
What is Gradient Descent? A Beginner’s Guide to the Learning Algorithm Read More »
