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ML-Classification

30 posts

Top 6 Machine Learning Classification Algorithms

Last Updated: 04 September 2024

Are you navigating the complex world of machine learning and looking for the most efficient algorithms for classification tasks? Look no further. Understanding the intrica...read more

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Machine Learning Blogs

Implementing Decision Tree Classifiers with Scikit-Learn

Last Updated: 03 June 2025

Decision Tree Classifier is a method used to classify data into categories like "Yes" or "No" or different types such as "Spam" or "Not Spam". It works by using a tree-lik...read more

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Machine Learning

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AI-ML-DS With Python

Data Science Blogathon 2024

Determining Feature Importance in SVM Classifiers with Scikit-Learn

Last Updated: 21 August 2024

Support Vector Machines (SVM) are a powerful tool in the machine learning toolbox, renowned for their ability to handle high-dimensional data and perform both linear and n...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Understanding Scikit-Learn's SVC: Decision Function and Predict

Last Updated: 19 August 2024

Scikit-Learn's SVC (Support Vector Classifier) is a powerful tool for classification tasks, particularly in situations where you have high-dimensional data or need to deal...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Multi-class classification using Support Vector Machines (SVM)

Last Updated: 26 August 2024

Support Vector Machines (SVM) are widely recognized for their effectiveness in binary classification tasks. However, real-world problems often require distinguishing betwe...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Does the SVM in sklearn support incremental (online) learning?

Last Updated: 26 August 2024

Support Vector Machines (SVM) are popular for classification and regression tasks in machine learning. When it comes to incremental or online learning, the capabilities of...read more

Machine Learning

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AI-ML-DS With Python

Understanding Decision Boundaries in K-Nearest Neighbors (KNN)

Last Updated: 15 May 2025

A decision boundary is a line or surface that divides different groups in a classification task. It shows which areas belong to which class based on what the model decides...read more

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Machine Learning

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AI-ML-DS With Python

Testing and Evaluating Your Model in KNIME

Last Updated: 16 September 2024

Evaluating the performance of machine learning models is a crucial step in the data science workflow. KNIME Analytics Platform provides a robust set of tools and nodes to ...read more

Machine Learning

ML-Classification

Does KNN need training?

Last Updated: 16 November 2024

No, the KNN does not need training before making predictions as K-Nearest Neighbors (KNN) is often categorized as a "lazy learner." The term "lazy learner" refers to the ...read more

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How to reduce KNN computation time using KD-Tree or Ball Tree?

Last Updated: 16 November 2024

The KNN algorithm works by calculating the distances between a query point and all points in the training dataset to find the k nearest neighbors. KNN's main drawback is i...read more

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Machine Learning

AI-ML-DS With Python

How to parallelize KNN computations for faster execution?

Last Updated: 25 November 2024

Parallelizing K-Nearest Neighbors (KNN) computations can significantly reduce the time needed for processing, especially when dealing with large datasets. The KNN algorith...read more

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AI-ML-DS With Python

Why is KNN a lazy learner?

Last Updated: 12 November 2024

The K-Nearest Neighbors (KNN) algorithm is known as alazy learnerbecause it does not build an internal model during the training phase. Instead, it simply stores the entir...read more

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Data Science Questions

How to choose the right distance metric in KNN?

Last Updated: 15 January 2025

Choosing the right distance metric is crucial for K-Nearest Neighbors (KNN) algorithm used for classification and regression tasks. Distance metric determines how the algo...read more

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Data Science Questions

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What is the influence of C in SVMs with linear kernel?

Last Updated: 25 November 2024

Support Vector Machines (SVMs) are powerful machine learning algorithms used for classification and regression tasks. When dealing with linearly separable data, SVMs use a...read more

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Hierarchical Classification

Last Updated: 17 May 2025

Hierarchical classification is a task in machine learning where the goal is to assign an instance to one or more classes organized in a hierarchy, rather than choosing fro...read more

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