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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 about classification in machine learning, a supervised method to predict the correct label of a given input data. Explore different types of classification tasks, real-world applications, and examples of algorithms.

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

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   Apr 12, 2024 · Learn about the different types of classification tasks and challenges in machine learning, such as binary, multi-class, multi-label and imbalanced classification. Explore the popular algorithms and examples for each type of classification problem.

5. 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.

6. machinelearningmastery.com › types-of4 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.

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-label classification?

   • In, Multi-label Classification the goal is to predict which of several labels a new data point belongs to. This is different from multiclass classification, where each data point can only belong to one class.

   Getting started with Classification - GeeksforGeeks

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   What are the different types of classification?

   • There are two types of Classifications: Binary Classifier: If the classification problem has only two possible outcomes, then it is called as Binary Classifier. Multi-class Classifier: If a classification problem has more than two outcomes, then it is called as Multi-class Classifier.

   Classification Algorithm in Machine Learning - Javatpoint

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8. builtin.com › machine-learning › classificationClassification in Machine Learning: An Introduction | Built In

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   Nov 16, 2022 · Learn what classification is, how it works and what types and algorithms are used in supervised learning. This article covers decision tree, naive Bayes, artificial neural network and KNN with examples and advantages and disadvantages.