Supervised Learning

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AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced
Introduction to Machine Learning with Python (Coursera) Coursera
Arizona State University

Introduction to Machine Learning with Python (Coursera)

Embark on a journey into the world of Machine Learning (ML) with our beginner-friendly course. Using Python as your toolset, you'll explore various aspects of ML including supervised learning, unsupervised learning, and delve into advanced topics like deep learning and generative adversarial networks. This course is perfect for those new to ML who want to understand its applications and learn how to implement models using Python.

Sep 7th 2026
4 Weeks
Machine Learning for Semiconductor Quantum Devices (edX) EdX
Delft University of Technology,DelftX

Machine Learning for Semiconductor Quantum Devices (edX)

Dive into the world of quantum computing with our exclusive course on Machine Learning for Semiconductor Quantum Devices. This course is designed for those interested in leveraging artificial intelligence to overcome challenges in controlling and calibrating semiconductor-based quantum computers, a key frontier in modern technology.

Self Paced
Self-Paced
Statistical Learning with Python (edX) EdX
StanfordOnline

Statistical Learning with Python (edX)

Discover the essential tools of statistical modeling and data science through this comprehensive course. Explore both classic and cutting-edge methods and learn how to apply them using Python's powerful capabilities. Whether you're new to the field or looking to deepen your expertise, this course offers a blend of theory and practical application that will equip you with the skills needed for real-world analysis.

Self Paced
Self-Paced
Supervised Machine Learning: Regression and Classification (Coursera) Coursera
Stanford University,DeepLearning.AI

Supervised Machine Learning: Regression and Classification (Coursera)

Dive into the world of Supervised Machine Learning with our introductory course designed to equip you with essential skills in model building and training. This course will guide you through constructing and refining regression and classification models using Python's powerful libraries such as NumPy and scikit-learn, enabling you to tackle prediction and binary classification tasks effectively.

Jun 29th 2026
3 Weeks