Machine Learning Tutorial Python : K nearest neighbors classification with python code
Description: In this video, we'll implement K-Nearest Neighbours algorithm using scikit-learn. The K-nearest neighbors (KNN) algorithm is a type of supervised machine learning algorithms. KNN is extremely easy to implement in its most basic form, and yet performs quite complex classification tasks. It is a lazy learning algorithm since it doesn't have a specialized training phase. Rather, it uses all of the data for training while classifying a new data point or instance. KNN is a non-parametric learning algorithm, which means that it doesn't assume anything about the underlying data. This is an extremely useful feature since most of the real world data doesn't really follow any theoretical assumption e.g. linear-separability, uniform distribution, etc.
На этой странице сайта вы можете посмотреть видео онлайн Machine Learning Tutorial Python : K nearest neighbors classification with python code длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Chintu Mintu 28 Апрель 2024, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 40 раз и оно понравилось 2 зрителям. Приятного просмотра!
