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The Kolmogorov-Smirnov test is a statistical method used to assess the similarity between two probability distributions. It is a non-parametric test, meaning that it makes no assumptions about the underlying
Truncated SVD is a popular technique in machine learning for reducing the dimensions of high-dimensional data while retaining most of the original information. This technique is particularly useful in scenarios
Boosting algorithms are powerful machine learning techniques that can improve the performance of weak learners. These algorithms work by repeatedly combining a set of weak learners to create strong learners
ElasticNet regression is a type of regularized linear regression that combines L1 regularization and L2 regularization to achieve both feature selection and feature reduction. It is a very useful method
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