A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

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Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

When fitting a generalized linear model--such as linear regression, logistic regression, or hierarchical linear modeling--analysts often wonder how to handle missing values of the dependent variable Y ...