In supervised machine learning, it is crucial to understand the differences among various algorithms to make knowledgeable choices about data analysis and model selection. Usually, two techniques are logistic regression and linear regression, each designed for specific purposes and applicable to different problems. Moreover, the fundamental characteristics, applications, and differences between logistic and linear regression […]
