Outlier Detection

Outlier Detection Using PyOD

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Outlier Detection Using PyOD

Source: DeepHub IMBA This article is approximately 1200 words long and is recommended for a 5-minute read. In this article, we will introduce the PyOD package and provide detailed code examples. Outlier detection is a key task in various fields. PyOD, which stands for Python Outlier Detection, simplifies the process of identifying outliers in multivariate … Read more

Predicting House Prices Using KNN for Regression, Classification, and Outlier Detection

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Predicting House Prices Using KNN for Regression, Classification, and Outlier Detection

Full Article Link: https://tecdat.cn/?p=33917 KNN is a non-parametric learning algorithm, which means it makes no assumptions about the underlying data. This is a very useful feature because most client data does not really follow any theoretical assumptions, such as linear separability, uniform distribution, etc. (Click the “Read the Original” link at the end of the … Read more