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Jun 22, 2025 · 3 min read · A Decision Tree is a supervised machine learning algorithm used for classification and regression tasks. It works like a flowchart to make decisions based on input features by splitting data into subsets based on feature values. Terminologies : Roo...
Join discussionJun 15, 2025 · 6 min read · K Nearest Neighbour is a instance based learning algorithm, where you use training data to categorize or find solution to the input value. How does KNN work? The K-NN algorithm can be explained based on the following algorithm: Select the number K o...
Join discussionJun 15, 2025 · 2 min read · Naive Bayes are a set of Supervised machine learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence between every pair of features given the value of the class variable. Bayes’ theorem states the f...
Join discussionJun 15, 2025 · 4 min read · Despite its name, Logistic regression is actually a Classification algorithm, commonly used for binary classification. Usually, true or false , 0 or 1. Logistic regression works by estimating the input belongs to one class, it takes input applies wei...
Join discussionJun 7, 2025 · 2 min read · Error, in the context of machine learning, is the overall discrepancy between the predicted values of the model and the actual values in the dataset. It encompasses both bias and variance and is a crucial metric for assessing model performance. Bias ...
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