Cook’s Distance

Cook’s Distance for Detecting Influential Observations

Cook’s distance is a measure computed to measure the influence exerted by each observation on the trained model. It is measured by building a regression model and therefore is impacted only by the X variables included in the model. What is Cooks Distance? Cook’s distance measures the influence exerted by each data point (row / …

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Julian Programming Language

Linear Regression in Julia

Linear Regression is a fundamental machine learning algorithm used to predict a numeric dependent variable based on one or more independent variables. The dependent variable (Y) should be continuous. In this tutorial I explain how to build linear regression in Julia, with full-fledged post model-building diagnostics. To know more about the concepts behind linear regression, …

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Machine Learning A-Z™: Hands-On Python & R In Data Science

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Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science