Machine Learning with Python
Completed by Yuri Tolêdo de Barros
June 20, 2020
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: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Dimensionality Reduction
- Category: Python Programming
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning