- Regression Analysis
- Decision Tree Learning
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Logistic Regression
- Supervised Learning
- Machine Learning
- Model Evaluation
- Dimensionality Reduction
- Applied Machine Learning
- Python Programming
Machine Learning with Python
Completed by Irsa Shapouri
February 10, 2025
20 hours (approximately)
Irsa Shapouri'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
