Need for different types of Classifiers

Classification algorithms depend on the dataset being used, and data scientists have curated various algorithms that can be used in certain situations. Most popular types of Classification Algorithms: Linear Classifiers Logistic regression Naive Bayes classifier Support vector machines Kernel estimation k-nearest neighbor Decision trees Random forests Let’s discuss this in more detail and understand when…

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Introduction to Classification

Under supervised learning, there is a type called classification. These algorithms recognize the category a new observation belongs to based on the training dataset. In supervised learning, there are independent variables and a dependent variable Here, the dependent variable is the category, and each category’s features are independent variables. These categories are distinct and pre-defined…

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