Machine Learning with Python
Completed by Yerson Ferney Porras García
November 4, 2019
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: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Python Programming
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Model Training
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Machine Learning
