Machine Learning with Python
Completed by CARLOS HERNANDEZ OLIVAN
January 30, 2021
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: Machine Learning
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Decision Tree Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Logistic Regression
