Machine Learning with Python
Completed by Shun Ping Yu
July 11, 2021
20 hours (approximately)
Shun Ping Yu'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: Predictive Modeling
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Regression Analysis
