Machine Learning with Python
Completed by David Shimamoto
December 16, 2024
20 hours (approximately)
David Shimamoto'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Model Training
- Category: Classification Algorithms
- Category: Python Programming
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Machine Learning
