Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
InfoWorld

Review: Scikit-learn shines for simpler machine learning

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...
GitHub

Mental Health Score Predictor

An ML-powered mental health score prediction app built with FastAPI and Random Forest. Features real-time predictions through a web interface, with Python, Scikit-learn, Pandas, and REST API ...
InfoWorld

14 open source tools to make the most of machine learning

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.
Computerworld

Review: The best frameworks for machine learning and deep learning

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...