Machine Learning with Python
Completed by Nguyen Huu Phuc Trinh
August 4, 2019
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: Decision Tree Learning
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Logistic Regression
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
