- Predictive Modeling
- Statistical Modeling
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Feature Engineering
- Regression Analysis
- Dimensionality Reduction
- Decision Tree Learning
- Unsupervised Learning
- Classification And Regression Tree (CART)
- Applied Machine Learning
- Machine Learning
Machine Learning with Python
Completed by Giuseppe Napoli
December 5, 2022
20 hours (approximately)
Giuseppe Napoli'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
