Machine Learning with Python
Completed by Kyle Stubbs
February 25, 2026
20 hours (approximately)
Kyle Stubbs'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: Supervised Learning
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Statistical Methods
- Category: Python Programming
- Category: Classification Algorithms
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
