- Machine Learning
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Python Programming
- Model Evaluation
- Regression Analysis
- Classification Algorithms
- Unsupervised Learning
- Dimensionality Reduction
- Decision Tree Learning
- Supervised Learning
- Logistic Regression
Machine Learning with Python
Completed by Justin Merwin
December 17, 2024
20 hours (approximately)
Justin Merwin'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
