Logistic Regression: Intuition & Implementation

The math behind the Logistic Regression algorithm and implementation from scratch using Numpy.

Introduction

Logistic Regression is a fundamental binary classification algorithm that can learn a decision boundary between two different sets of data attributes. In this article, we understand the theoretical aspect behind the classification model and implement it using Python.

Intuition

Dataset

Logistic Regression is a supervised learning algorithm so we have data feature attributes and their corresponding labels. The features are independent variables, denoted …

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