If you were an aspiring ML/Data Science professional, which 5 projects would you build for your portfolio?
If you were a computer science student passionate about machine learning and data science, with a strong foundation in machine learning, mathematics, and probability, what five projects would you prioritize to build a strong GitHub portfolio?
I'm particularly interested in projects that would stand out to ML/Data Science professionals working in industry, rather than simple tutorial or Kaggle-style projects.
If you were starting from my position, which five projects would you choose, and what skills would you try to demonstrate with each one?