Machine Learning with Python
Completed by Surasit Tangtoemthong
October 14, 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: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Model Evaluation
