Machine Learning with Python
Completed by El Mehdi Mahoudi
December 9, 2023
20 hours (approximately)
El Mehdi Mahoudi'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: Unsupervised Learning
- Category: Regression Analysis
- Category: Logistic Regression
- Category: Classification Algorithms
- Category: Statistical Machine Learning
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Model Optimization
