Machine Learning with Python
Completed by Nerathaldeniye Shesha Kalpani Amarathunga
February 18, 2026
20 hours (approximately)
Nerathaldeniye Shesha Kalpani Amarathunga'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: Python Programming
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Statistical Methods
- Category: Model Evaluation
- Category: Machine Learning
- Category: Model Optimization
- Category: Logistic Regression
- Category: Predictive Modeling
