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Unit-2 Machine Learning by abiikutty130 is a document available to read on EtoBox.
Linear regression models are used to predict a dependent variable based on one or more independent variables, utilizing methods like least squares to minimize errors. Assumptions such as linearity, independence, and normal distribution of residuals must be met for effective analysis. Bayesian regression offers a probabilistic approach that incorporates prior knowledge, providing more accurate estimates and uncertainty measures, especially in complex scenarios.
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- abiikutty130
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- EN