I'm a first-year BCA student and have finished my first year. I've studied Python, and I've also covered C. I'm interested in machine learning, so what should I focus on learning next, and what would be a good path to follow?
2 Answers
Since you’re interested in machine learning, continue with Python rather than switching languages immediately. Build a strong foundation in data structures, algorithms, object-oriented programming, and problem-solving. Then learn NumPy, pandas, data visualization, basic statistics, linear algebra, and eventually machine-learning libraries such as scikit-learn. Use practical projects to reinforce each topic instead of trying to rush through a checklist.
A learning roadmap can help you organize the topics and find useful resources, but treat it as a guide rather than a strict requirement. You don’t need to complete every item before applying for internships or building projects. Start with small projects, such as analyzing a dataset or creating a simple prediction model, and gradually make them more advanced.
I’ve completed the Python and C courses I was following, and I’d like to focus specifically on machine learning. I’ll continue building projects and strengthening the fundamentals.