Machine Learning with Python
Completed by Evangeline Juliet John Francis Kennedy
March 26, 2026
20 hours (approximately)
Evangeline Juliet John Francis Kennedy'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: Python Programming
- Category: Classification Algorithms
- Category: Statistical Methods
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Model Training
- Category: Machine Learning Methods
