Machine Learning with Python
Completed by Paula Abigail Orellana Rojas
August 13, 2019
20 hours (approximately)
Paula Abigail Orellana Rojas'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
- Category: Machine Learning Methods
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Decision Tree Learning
- Category: Model Optimization
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Analytics
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Supervised Learning
