Machine Learning with Python
Completed by Muhamed Abdelmaboud
March 15, 2026
20 hours (approximately)
Muhamed Abdelmaboud'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: Classification Algorithms
- Category: Predictive Analytics
- Category: Logistic Regression
- Category: Statistical Machine Learning
- Category: Python Programming
- Category: Decision Tree Learning
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Model Optimization
