Machine Learning with ML.NET – Support Vector Machines

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Machine Learning with ML.NET – Support Vector Machines

Machine Learning with ML.NET – Support Vector Machines

“In this article we explore SVM for regression and classification and use ML.NET to implement it.

Data that we use in this article is from PalmerPenguins Dataset. This dataset has been recently introduced as an alternative to the famous Iris dataset. It is created by Dr. Kristen Gorman and the Palmer Station, Antarctica LTER. You can obtain this dataset here, or via Kaggle. This dataset is essentially composed of two datasets, each containing data of 344 penguins. Just like in Iris dataset there are 3 different species of penguins coming from 3 islands in the Palmer Archipelago. Also, these datasets contain culmen dimensions for each species. The culmen is the upper ridge of a bird’s bill. In the simplified penguin’s data, culmen length and depth are renamed as variables culmen_length_mm and culmen_depth_mm…”

Source: rubikscode.net/2021/02/15/machine-learning-with-ml-net-support-vector-machines/

February 19, 2021
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