Machine Learning with Python
Completed by Pedro Henrique Ázara de Almeida
August 1, 2026
20 hours (approximately)
Pedro Henrique Ázara de Almeida'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: Machine Learning Methods
- Category: Classification Algorithms
- Category: Statistical Methods
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Regression Analysis
