I'm a first-year BCA student and have just completed my introductory coursework in Python. I've also finished learning C. I'm interested in moving toward machine learning, so what should I study next, and which skills or topics should I focus on first?
2 Answers
If machine learning is your goal, continue with Python. Make sure you’re comfortable with functions, classes, file handling, debugging, and using libraries before jumping into ML. Then study probability, statistics, linear algebra, and basic calculus alongside practical projects such as regression, classification, and data cleaning.
Start by strengthening your Python through small projects rather than moving straight to another language. For machine learning, learn NumPy, pandas, data visualization with Matplotlib or Seaborn, and the basics of statistics and linear algebra. After that, work through beginner projects with scikit-learn. A structured roadmap can help you see the usual progression, but treat it as a guide rather than a checklist.
Thanks, I’ll focus on Python and the math foundations first before starting machine-learning projects.