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Category Archives: Scikit
“Logistic Regression Using the scikit Library” in Visual Studio Magazine
I wrote an article titled “Logistic Regression Using the scikit Library” in the February 2023 edition of Microsoft Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2023/02/01/scikit.aspx. Logistic regression is a machine learning technique for binary classification. For example, you might want to predict … Continue reading
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Converting String Data to Integers aka Ordinal Encoding
I was working with the scikit naive Bayes classifier. Naive Bayes is best used for categorical / string / text data such as a file that looks like: actuary green korea F barista green italy M dentist hazel japan M … Continue reading
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Naive Bayes Classification Example Using the scikit Library
Naive Bayes classification is a classical machine learning technique. It is best used when the predictor variables are all nonnumeric. Naive Bayes works for both binary classification and multiclass classification. And naive Bayes works well when you don’t have very … Continue reading
Binary Classification Using a scikit Decision Tree
I hadn’t looked at using a decision tree from the scikitlearn (scikit for short) library for several months, so I figured to do an example. Before I go any further: I am not a big fan of decision trees and … Continue reading
Revisiting Binary Classification Using scikit Logistic Regression
It had been a while since I looked at logistic regression using the scikitlearn (scikit or sklearn for short) machine learning library. Like any kind of skill, it’s important to stay in practice. I used one of my standard datasets … Continue reading
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