- Portfolio-ready projects for job applications.
- Learn to preprocess, train, evaluate, and deploy models.
- Prepare for roles like ML Engineer, Data Analyst, and Data Scientist.
- Understand best practices for reproducible ML workflows.
- Apply ML to real-world business and technical problems.
