Machine Learning with Python
Completed by Paul Springer
April 2, 2026
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
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning Algorithms
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Model Training
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Unsupervised Learning
