Machine Learning with Python
Completed by Sean Mac Sweeney
October 12, 2024
20 hours (approximately)
Sean Mac Sweeney'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: Supervised Learning
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Logistic Regression
- Category: Statistical Methods
- Category: Python Programming
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
