Machine Learning with Python
Completed by Randal Ty Griffiths
November 8, 2018
20 hours (approximately)
Randal Ty Griffiths'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: Predictive Modeling
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Model Optimization
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
