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1. www.javatpoint.com › classification-algorithm-inClassification Algorithm in Machine Learning - Javatpoint

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   Learn what is classification algorithm, how it works, and its types and examples. Find out how to evaluate and use classification models for different problems.

2. www.geeksforgeeks.org › getting-started-withGetting started with Classification - GeeksforGeeks

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   • What Is Supervised Machine Learning?
   • Machine Learning For Classification
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   Supervised Machine Learningis where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the outputY = f(X). The goal is to approximate the mapping function so well that when you have new input data (x) you can predict the output variables (Y) for that data. Supervised lear...

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   Classification is a process of categorizing data or objects into predefined classes or categories based on their features or attributes. Machine Learningclassification is a type of supervised learningtechnique where an algorithm is trained on a labeled dataset to predict the class or category of new, unseen data. The main objective of classificatio...

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   In conclusion, classification is a fundamental task in machine learning, involving the categorization of data into predefined classes or categories based on their features.

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   Learn what classification is, how it differs from regression, and what types of classification problems and algorithms exist. Find out how to evaluate a classification model using various metrics and techniques.

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3. www.datacamp.com › blog › classification-machineClassification in Machine Learning: A Guide for Beginners

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   Learn what classification is, how it differs from regression, and what types of classification tasks exist. Explore real-world examples and algorithms for binary, multi-class, multi-label, and imbalanced classifications.

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4. www.analyticsvidhya.com › blog › 2021Classification in Machine Learning: Algorithms & Techniques ...

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   Aug 2, 2024 · Learn about the different types of classification tasks and algorithms in machine learning, such as binary, multi-class, multi-label and imbalanced classification. See examples, code and evaluation metrics for each algorithm and how to apply them to real-world problems.

5. machinelearningmastery.com › types-of-classification-i4 Types of Classification Tasks in Machine Learning

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   Aug 19, 2020 · Learn about different types of classification problems in machine learning, such as binary, multi-class, multi-label and imbalanced classification. See examples, algorithms and evaluation metrics for each type of classification task.

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6. www.geeksforgeeks.org › top-6-machine-learningTop 6 Machine Learning Classification Algorithms

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   Mar 26, 2024 · Learn about the most efficient algorithms for classification tasks in machine learning, such as logistic regression, decision tree, random forest, SVM, naive Bayes and KNN. Compare their features, advantages and disadvantages, and see examples and graphs.

7. People also ask

   What is ML classification algorithm?

   • In classification algorithm, a discrete output function (y) is mapped to input variable (x). The best example of an ML classification algorithm is Email Spam Detector. The main goal of the Classification algorithm is to identify the category of a given dataset, and these algorithms are mainly used to predict the output for the categorical data.

   Classification Algorithm in Machine Learning - Javatpoint

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   What is multi class classification?

   • In multi-class classification, data is divided into more than two distinct classes. Each data point belongs to one and only one class. Examples include classifying emails into multiple categories (e.g., work, personal, social) or recognising different species of plants (e.g., rose, tulip, daisy).

   Machine Learning Classification: Concepts, Models, Algorithms and more

   blog.quantinsti.com/machine-learning-classification/

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   What is a multi-label classification model?

   • It is common to model multi-label classification tasks with a model that predicts multiple outputs, with each output taking predicted as a Bernoulli probability distribution. This is essentially a model that makes multiple binary classification predictions for each example.

   4 Types of Classification Tasks in Machine Learning

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8. blog.quantinsti.com › machine-learning-classificationMachine Learning Classification: Concepts, Models, Algorithms ...

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   Nov 30, 2023 · Learn the basics of machine learning classification, a tool to categorise data into distinct groups. Explore different types of classification problems, algorithms, evaluation methods, and techniques to improve model performance.