Non‑coder background—what roadmap, tools, and projects should I follow?
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Hey Vikram, Start with Python basics (variables, loops, functions) and a tiny bit of linear algebra and statistics. Then pick one intro ML course (like Andrew Ng’s or fast.ai) and follow along by coding small examples. Build 3–5 mini‑projects (e.g., house‑price predictor, spam‑classifier) on Kaggle or GitHub so you can show what you’ve learned, even without a formal degree.
Focus on applied learning: choose a problem you care about (finance, healthcare, fashion, etc.) and learn the AI tools that solve it. Use no‑code/low‑code platforms at first (like Teachable Machine or Hugging Face Spaces) to get comfortable with concepts, then move to Python and libraries like scikit‑learn or PyTorch. Consistency matters more than perfection—code a little every day and keep a public repo as your portfolio.