- Python Programming
- Statistical Analysis
- Regression Analysis
- Supervised Learning
- Machine Learning Algorithms
- Machine Learning
- Feature Engineering
- Classification And Regression Tree (CART)
- Predictive Modeling
- Dimensionality Reduction
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
Machine Learning with Python
Completed by Ricardo Wagner Correia Guerra Filho
October 18, 2020
20 hours (approximately)
Ricardo Wagner Correia Guerra Filho'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
