Objectives
At the end of the two-day course, participants will be able to
- Understand the best practices for data science workflows
- Acquire a deeper understanding of the basic machine learning models to gain additional insights into your data
- Learn about intermediate machine learning models and algorithms, including regression, classification, clustering, principal component analysis, and text analysis.
- Apply these learning models through hands-on sessions
- Analyze datasets that hold real-world implications