- Applied Machine Learning
- Feature Engineering
- Classification And Regression Tree (CART)
- Statistical Modeling
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Regression Analysis
- Predictive Modeling
- Decision Tree Learning
Machine Learning with Python
Completed by SeyedSaman Madani
February 7, 2025
20 hours (approximately)
SeyedSaman Madani'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
