Tag: classification

You are capable of training and evaluating classification models, both linear and non-linear model structures. Well done! Now, you want class probabilities instead of class labels. Read no more. This is the article you are looking for. This article walks you through the different evaluation metrics,...

It starts with a tick box on a form. To assess the potential risk to vulnerable people, my university ethics committee asks whether a research project involves “people with a cognitive impairment, physical impairment, an intellectual disability, or a mental illness.” This category appear...

Intelligent data application adoption is rapidly growing amongst various data platforms. And with this growing adoption, engineers are looking for efficient and flexible APIs to work with their data in a way they’re used to operating pipelines, but inside such data applications. In this blo...

Data scientists use neural networks as a tool to analyze photos and images. A neural network is a machine learning tool used to analyze images. It tries to focus on essential features of an image and determine a value or class to it. In this case, we will go through an example of classifying clothes...

Logistic Regression is a cornerstone of machine learning, facilitating classification by modeling the probability that an instance belongs to a particular category. The scikit-learn (often abbreviated to sklearn) library in Python provides robust tools for building Logistic Regression...