- Classification And Regression Tree (CART)
- Machine Learning
- Regression Analysis
- Machine Learning Algorithms
- Python Programming
- Applied Machine Learning
- Unsupervised Learning
- Statistical Analysis
- Supervised Learning
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
Machine Learning with Python
Completed by PARISA RAJAEI NEZHAD
August 25, 2022
20 hours (approximately)
PARISA RAJAEI NEZHAD'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
