Supervised Learning

EdX

Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

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

ML Artificial Intelligence Machine Learning

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Coursera

O.P. Jindal Global University

Supervised Learning and Its Applications in Marketing (Coursera)

Marketing & Communication Business

Dive into the world of data-driven marketing with our Supervised Learning for Marketers course. Master essential techniques like regression and classification, harnessing Python's power to transform your marketing approach. Perfect for professionals aiming to leverage machine learning for better decision-making and campaign optimization.

Jul 20th 2026

4 Weeks

Marketing Machine Learning Regression

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Coursera

University of Colorado Boulder

Data Analysis with Python Project (Coursera)

Statistics & Data Analysis Data Science

Embark on a practical journey into the world of data analysis with our 'Data Analysis with Python Project' course. This hands-on specialization will guide you through applying your skills to a real-life project, exploring various analytical methods and techniques using Python. From raw data to actionable insights, this course is designed for those who want to make informed decisions based on data.

Jul 20th 2026

5-12 Weeks

Python Machine Learning Clustering

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Coursera

University of Colorado Boulder

Regression Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Regression Analysis' - a foundational course that unravels the mysteries behind one of the most powerful predictive modeling tools. From basic principles to advanced applications, this course will guide you through understanding, implementing, and evaluating regression models effectively.

Jul 20th 2026

5-12 Weeks

Regression Linear Regression Polynomial Regression

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EdX

Delft University of Technology,DelftX

Machine Learning for Semiconductor Quantum Devices (edX)

Sci: Physics Data Science

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

Machine Learning Quantum Neural Networks

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EdX

StanfordOnline

Statistical Learning with Python (edX)

Statistics & Data Analysis CS: Programming

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

Python Statistics Classification

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Coursera

IBM

Supervised Learning: Classification (Coursera)

Data Science

Dive into the world of Supervised Machine Learning with our 'Supervised Learning: Classification' course. This hands-on program will teach you how to create powerful predictive models capable of categorizing data accurately. You'll learn about train and test splits, error metrics, and strategies for dealing with unbalanced classes.

Jun 29th 2026

4 Weeks

Machine Learning Classification Logistic Regression

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Coursera

IBM

Supervised Learning: Regression (Coursera)

Data Science

Dive into the world of Supervised Learning with our Regression course on Coursera. Master the art of predicting continuous outcomes by training effective models and using precise error metrics. Gain insights into best practices like splitting datasets for testing and applying regularization to enhance model performance.

Jun 29th 2026

3 Weeks

Machine Learning Regression Linear Regression

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Coursera

Stanford University,DeepLearning.AI

Supervised Machine Learning: Regression and Classification (Coursera)

Data Science

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

Python Machine Learning Regression

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