Machine Learning with Python
Completed by Filipe Brito Ferreira
June 9, 2026
20 hours (approximately)
Filipe Brito Ferreira'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: Classification Algorithms
- Category: Model Evaluation
- Category: Predictive Analytics
- Category: Model Optimization
- Category: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Statistical Machine Learning
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Decision Tree Learning
