Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

PyLops is an open-source Python library focused on providing a backend-agnostic ... as a matrix (array of numbers), or as weighed stencil summation: Note how the code becomes even more compact and ...

Abstract: Rain prediction is challenging due to the complex combination of atmospheric factors. This paper presents the application of logistic regression modelling to predict rainfall the next day, ...