Machine Learning with Python
Completed by SIN YEE WU
July 30, 2024
20 hours (approximately)
SIN YEE WU'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: Machine Learning
- Category: Statistical Machine Learning
- Category: Decision Tree Learning
- Category: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Regression Analysis
- Category: Logistic Regression
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Model Training
- Category: Model Optimization
