- Predictive Modeling
- Classification Algorithms
- Unsupervised Learning
- Regression Analysis
- Python Programming
- Dimensionality Reduction
- Model Evaluation
- Supervised Learning
- Decision Tree Learning
- Applied Machine Learning
- Feature Engineering
- Machine Learning
Machine Learning with Python
Completed by JACINTH JENNIFER
November 8, 2021
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
