Machine Learning Algorithm

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AutoML (Automated Machine Learning) algorithms

AutoML (Automated Machine Learning) refers to the use of automated methods to automate the end-to-end process of applying machine learning to real-world problems. It involves automating tasks such as data pre-processing, feature engineering, model selection, hyperparameter tuning, and deployment. AutoML algorithms are designed to help data scientists and machine learning practitioners save time and effort …

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Association rule learning algorithms

Association rule learning is a type of unsupervised learning algorithm used for discovering interesting relationships or patterns in large datasets. The algorithm works by analyzing the co-occurrence of different items or features in a dataset, and identifying sets of items that tend to appear together. The most common application of association rule learning is in …

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Support vector machine (SVM) algorithms

Support Vector Machines (SVMs) are a class of supervised learning algorithms used for classification and regression analysis. SVMs are based on the idea of finding a hyperplane that best separates data into different classes. In binary classification, the hyperplane is a line that separates the two classes in the feature space. SVMs find the hyperplane …

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