- Machine Learning
- Predictive Modeling
- Supervised Learning
- Classification And Regression Tree (CART)
- Dimensionality Reduction
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Regression Analysis
- Statistical Analysis
- Applied Machine Learning
- Python Programming
Machine Learning with Python
Completed by BENJAMIN CLARK JENSEN
February 10, 2022
20 hours (approximately)
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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
