Machine Learning with Python
Completed by Erwin van Herwijnen
August 26, 2018
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: Model Evaluation
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Algorithms
- Category: Decision Tree Learning
- Category: Dimensionality Reduction
- Category: Machine Learning
- Category: Logistic Regression
- Category: Model Optimization
- Category: Applied Machine Learning
