Linear Regression with Keras: A Practical Approach

Regression analysis is a statistical method used to estimate the relationships between variables that exhibit cause-and-effect relationships. The primary focus of univariate regression is to analyze the relationship between a dependent variable and a single independent variable, formulating a linear equation that describes this relationship. In this paper we presents a practical approach to implementing a linear regression model using Keras, a high-level neural networks API built on TensorFlow.