Machine Learning with Python
Completed by Stefanos Fotopoulos
March 15, 2026
20 hours (approximately)
Stefanos Fotopoulos'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: Decision Tree Learning
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Regression Analysis
- Category: Model Training
- Category: Model Evaluation
