Machine Learning with Python
Completed by John Schreuders
February 12, 2026
20 hours (approximately)
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What you will learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you will gain
- Category: Model Optimization
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Regression Analysis
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Model Training
- Category: Unsupervised Learning
