Machine Learning with Python
Completed by Jean-Christophe Gagnon-Audet
August 11, 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: Supervised Learning
- Category: Unsupervised Learning
- Category: Model Training
- Category: Model Evaluation
- Category: Model Optimization
- Category: Python Programming
- Category: Statistical Methods
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Logistic Regression
