Machine Learning with Python
Completed by Karin Pietruska
October 23, 2019
20 hours (approximately)
Karin Pietruska'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: Applied Machine Learning
- Category: Unsupervised Learning
- Category: Predictive Modeling
- Category: Dimensionality Reduction
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Statistical Methods
- Category: Python Programming
- Category: Machine Learning
- Category: Model Optimization
- Category: Model Training
- Category: Supervised Learning
