Machine Learning with Python
Completed by Asiman Ismayilova
April 20, 2025
20 hours (approximately)
Asiman Ismayilova'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: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Supervised Learning
- Category: Python Programming
- Category: Predictive Modeling
- Category: Statistical Machine Learning
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Regression Analysis
