Machine Learning with Python
Completed by David Shergilashvili
December 24, 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: Predictive Analytics
- Category: Classification Algorithms
- Category: Machine Learning Methods
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Unsupervised Learning
- Category: Decision Tree Learning
- Category: Statistical Machine Learning
- Category: Model Evaluation
- Category: Dimensionality Reduction
- Category: Supervised Learning
- Category: Python Programming
