Machine Learning with Python
Completed by MAHDI GOODARZI
May 10, 2023
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 Training
- Category: Applied Machine Learning
- Category: Decision Tree Learning
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Optimization
- Category: Supervised Learning
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Machine Learning Algorithms
