- Specialization:听Climate Change Anomalies
- Instructor:听Osita Onyejekwe
- Prior knowledge needed:听Intro to R programming
Learning Outcomes
- Analyze and differentiate between various machine learning algorithms, including unsupervised and supervised methods 听
- Apply dimensionality reduction techniques, such as Principal Component Analysis (PCA) and Singular Value Decomposition (SVD), to complex datasets
- Implement supervised learning algorithms using Python, and evaluate their performance through practical exercises and real-world case studies.
- Develop and apply effective clustering methods to analyze and segment data 听
Course Content
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