Machine Learning with Python
Completed by Miriam Duke
October 8, 2026
20 hours (approximately)
Miriam Duke's account is verified. Coursera certifies their successful completion of Machine Learning with Python
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: Machine Learning Methods
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Scikit Learn (Machine Learning Library)
