Machine Learning with Python
Completed by Dylan Jayabahu
August 20, 2025
20 hours (approximately)
Dylan Jayabahu'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: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Decision Tree Learning
- Category: Python Programming
- Category: Machine Learning
- Category: Model Evaluation
- Category: Statistical Machine Learning
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Unsupervised Learning
