- Machine Learning
- Model Evaluation
- Regression Analysis
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Logistic Regression
- Applied Machine Learning
- Predictive Modeling
- Dimensionality Reduction
- Supervised Learning
- Unsupervised Learning
- Python Programming
Machine Learning with Python
Completed by Caroline STEHLE
April 7, 2020
20 hours (approximately)
Caroline STEHLE'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
