WebNov 16, 2024 · KNN Algorithm from Scratch Implementation and Details Explanation of the KNN Algorithm Photo by Guillermo Ferla on Unsplash Background of KNN KNN stands for K nearest neighbour. The name itself suggests that it considers the nearest neighbour. It is one of the supervised machine learning algorithms. WebOct 21, 2024 · Gradient Boosting – A Concise Introduction from Scratch. October 21, 2024. Shruti Dash. Gradient Boosting is a machine learning algorithm, used for both classification and regression problems. It works on the principle that many weak learners (eg: shallow trees) can together make a more accurate predictor. A Concise Introduction to Gradient ...
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WebOct 14, 2024 · K Nearest Neighbors Classification is one of the classification techniques based on instance-based learning. Models based on instance-based learning to generalize beyond the training examples. To do so, they store the training examples first. When it encounters a new instance (or test example), then they instantly build a relationship … WebAug 20, 2024 · Algorithms From Scratch: Naive Bayes Classifier Detailing and building a Naive Bayes Classifier From Scratch — Introduction The Naive Bayes classifier is an Eager Learning algorithm that belongs to a family of simple probabilistic classifiers based on Bayes’ Theorem. WebJan 26, 2024 · The main aims of Scratch include: Promoting problem-solving to achieve success in coding. Promoting logical thinking to solve these problems. Getting teachers to present the software excitingly so the students can be more creative. Encouraging self-expression in students and collaborative thinking. introducing new business to clients