TIM-6500: Principles of Data Science

Lee, W. (2019). Python machine learning. ProQuest Ebook Central.
Read Chapter 6, Supervised Learning-Linear Regression.
Read Chapter 7, Supervised Learning-Logistic Regression.
Chapter 6 details how the linear regression algorithm models relationships between features (independent variables) and labels (dependent variables) to predict values.
Chapter 7 details how the logistic regression algorithm models relationships between features (independent variables) and labels (dependent variables) to predict the probability of a set of inputs belonging to a given class. The chapter also demonstrates the logit to sigmoid function transformation.

Scikit-Learn Developers. (2020). Linear Regression Model.
This resource is the official scikit-learn ordinary squares Linear Regression model page.

Scikit-Learn Developers. (2020). Logistic Regression Model.
This resource is the official scikit-learn Logistic Regression model classifier page.