Data Science: Top Machine Learning Algorithms

Algorithms are grouped based on their similarity in terms of their function

Photo by Robynne Hu on Unsplash

Maps the input data to different classes (categories). Labels are assigned to each class. Classification can be performed on both structured and unstructured data.

Estimates the relationships between a dependent variable (aka ‘target variable’, or outcome variable’) and one or more independent variables (aka ‘predictors, ‘covariates, or ‘features’).

Inspired by the biological neural networks, the algorithms recognize relationships in a data set and adapt to changing input.

Technique to combine multiple machine learning algorithms into a single model to improve prediction accuracy.

Technique to add a penalty to the error/loss function to solve the overfitting problem. The penalty is the sum of the absolute values of the weights/ coefficients.

A technique that involves grouping of data points (unlabeled) based on their properties and/or features.

Transforms a set of high dimensional data (number of features are high) into the data with lesser dimensions.

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Software Architect | Machine Learning | Statistics | AWS | GCP