Maximum Likelihood Estimation with Logistic Regression

In our previous article, we introduce logistic regression, a fundamental technique in machine learning used for binary classification. Logistic regression predicts the probability of binary outcomes based on input features.

This article dives into the mathematical foundation of logistic regression.

Understanding Likelihood

Likelihood, refers to the chance of observing a specific outcome or event given a particular model or set of conditions.

Breakdown to understand better:

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  Focus on Specific Outcome: Unlike probability, which deals with the general chance of …

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