In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. In this post, we will go…
In the last post on SVM, we looked at the mathematical details of the algorithm. In this post, I will be discussing the practical implementations of SVM for classification as well as regression.
Tree-based models use a decision tree to represent how different input variables can be used to predict a target value. Machine learning uses tree-based models for both classification and regression…
The Boosted Trees Model is a type of additive model that makes predictions by combining decisions from a sequence of base models. Gradient Boosted Machine (GBM) is one of the most effective machine…
An interactive charts allows the user to perform actions: zooming, hovering a marker to get a tooltip, choosing a variable to display and more.
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.
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