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By Priya Chetty on December 23, 2017 1 Comment

Outliers are those data points which are distant from the other observations in the data set. They can be either because of the variability in the data set or due to measurement errors.

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By Riya Jain & Priya Chetty on December 17, 2017 1 Comment

In statistics, Generalized Least Squares (GLS) is one of the most popular methods for estimating unknown coefficients of a linear regression model when the independent variable is correlating with the residuals.

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By Priya Chetty on December 13, 2017 1 Comment

Linear discriminant model is a multivariate model. It is used for modeling the differences in groups. In this model a categorical variable can be predicted through continuous or binary dependent variable.

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By Priya Chetty on December 5, 2017 No Comments

While many statistical methods in machine learning are used either to predict or analyse trends in the data, cluster analysis is used for organizing the data. It is a process of grouping observations of similar kinds within a large population.

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By Priya Chetty on December 4, 2017 1 Comment

Machine learning involves solutions to predict scenarios based on past data. Logistic regression offers probability functions based on inputs and their corresponding output.

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By Indra Giri & Priya Chetty on November 5, 2017 5 Comments

Path analysis is a graphical representation of multiple regression models. In this analysis, the graphs represent the relationship between dependent and independent variables with the help of square and arrows.

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By Yashika Kapoor & Priya Chetty on November 1, 2017 No Comments

This article helps in importing and loading data from other programs such as Ms-Excel. It will take up the case example of Cholecystitis and gallbladder carcinoma illustrated in manual data entry procedure.

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By Indra Giri & Priya Chetty on October 30, 2017 No Comments

Survival analysis is a method under predictive modeling where the dependent variable is time. Therefore, it involves time-to-event prediction modeling. The methodology is that our outcome variable is time until the occurrence of a certain event.

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