Machine Learning with Python
Completed by Michael Waterman
April 18, 2024
20 hours (approximately)
Michael Waterman'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: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Regression Analysis
- Category: Machine Learning
- Category: Python Programming
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Statistical Methods
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)