Machine Learning 102: Logistic Regression

Going Back to the Basics of Classification

In a previous article I explored linear regression — the foundation of all other advanced models used in machine learning and data science. Linear regression models continuous dependent variables, such as stock prices.

However in data science and machine learning, we commonly have to deal with boolean or categorical dependent variables as well. Typical boolean dependent variables include things like a debtor’s loan default status — fully repaid/default, or classifying pictures of cats …

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