Missing covariates are common in regression problems. We propose a new semiparametric method based on a fully nonparametric distribution for the missing covariates that are assumed to be missing at ...
Linear regression is a common method for analyzing continuous, cardinal data, but it is inappropriate when the dependent variable is an ordinal ranking. The model proposed for analyzing these data ...
A machine learning project that predicts the likelihood of heart disease using patient health data and logistic regression. Includes data preprocessing, model training, evaluation, and visualizations.
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