Machine Learning with Python
Completed by ATHANASIOS EMMANOUILIDIS
November 3, 2024
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: Unsupervised Learning
- Category: Model Training
- Category: Supervised Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Model Optimization
