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Clipping is a method used to handle outliers in data by limiting the range of values to within a specified minimum and maximum. This technique is...
Correlation is a statistical measure that expresses the extent to which two variables are linearly related. It’s a common tool for determining how...
Multicollinearity is a statistical concept found in regression analysis where two or more independent variables in a model are highly correlated. This...
What is Cross-Validation? Cross-validation is a statistical method used to estimate the skill of machine learning models. It is primarily used to...
Supervised Learning Metrics Supervised learning involves training a model on a labelled dataset where the outcome is known. The goal is to predict the...
An imbalanced dataset refers to a dataset where the classes are not represented equally. In other words, one or more classes have significantly fewer...
