Machine Learning with Python
Completed by ROBERTO JR DOMINGO KEE
January 27, 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: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Python Programming
- Category: Classification Algorithms
- Category: Model Evaluation
