Machine Learning with Python
Completed by Hon Lin Too
August 20, 2024
20 hours (approximately)
Hon Lin Too'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: Model Evaluation
- Category: Logistic Regression
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Decision Tree Learning
- Category: Regression Analysis
- Category: Python Programming
- Category: Feature Engineering
- Category: Unsupervised Learning
