Supervised learning Archives

Performing Canonical Correlation Analysis (CCA)

By Priya Chetty on January 10, 2018 2 Comments

Until recently, Karl Pearson Correlation analysis was one of the most popular methods to measure linear association between two or more than two variables in a data set. For example, establishing the Karl Pearson Correlation between X variable and Y variable, where both variables belong to a single data set. Canonical Correlation Analysis (CCA), on the other hand, helps measure the correlation among variables which are in different datasets.

Solving complicated problems with decision tree

By Priya Chetty on January 10, 2018 No Comments

A decision tree is a graphical representation of possible solutions to a problem based on given conditions. It is called a tree because diagrammatically it starts with a single box (target variable) and ends up in numerous branches and roots (numerous solutions).

classification in supervised learning, Supervised learning, trend discovery

How to perform cross validation on a data set?

By Priya Chetty on December 25, 2017 No Comments

Thus to assess the model, a common practice in data science is to iterate over various models and select the most appropriate model. In other words it is important to test the same model with different values of parameters.This is called the cross validation method.

estimation in supervised learning, Supervised learning

How to detect outliers in a dataset?

By Priya Chetty on December 23, 2017 No Comments

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.

detection in supervised learning, Supervised learning, trend analysis

How to conduct generalized least squares test?

By Priya Chetty on December 17, 2017 No Comments

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.

detection in supervised learning, Supervised learning

How to apply linear discriminant analysis?

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.

classification in supervised learning, Supervised learning

How to perform cluster analysis?

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.

correlation in supervised learning, Supervised learning, trend discovery

How to apply logistic regression in a case?

By Priya Chetty on December 4, 2017 No Comments

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

regressions in supervised learning, Supervised learning

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