Machine Learning with Python
Completed by Kateryna Voropaieva
May 12, 2024
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: Regression Analysis
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Model Training
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Classification Algorithms
- Category: Dimensionality Reduction
