Machine Learning with Python
Completed by Seung Min Baek
July 10, 2019
20 hours (approximately)
Seung Min Baek'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: Scikit Learn (Machine Learning Library)
- Category: Model Training
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Dimensionality Reduction
