Machine Learning with Python
Completed by Curtis K Thomas III
January 19, 2024
20 hours (approximately)
Curtis K Thomas III'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: Model Training
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Decision Tree Learning
