Machine Learning with Python
Completed by SANTIAGO ANDRES PASTOR RICAURTE
July 22, 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: Unsupervised Learning
- Category: Model Training
- Category: Decision Tree Learning
- Category: Model Evaluation
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Model Optimization
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Classification Algorithms
