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Merge pull request academic#578 from bibash007/bibash007-patch-1
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@@ -119,6 +119,15 @@ Unlike R, Python was not built from the ground up with data science in mind, but
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When embarking on your journey to becoming a data scientist, the choice of language isn't particularly important, and both Python and R have their pros and cons. Pick a language you like, and check out one of the [Free courses](#free-courses) we've listed below!
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### Beginner Roadmap
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If you're just starting out, here's a simple recommended path:
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1. **Learn Python** – Start with basics: variables, loops, functions
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2. **Learn core libraries** – Pandas, NumPy, Matplotlib, Scikit-Learn
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3. **Practice with beginner projects** – Try Titanic survival or house price prediction on Kaggle
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4. **Learn Math basics** – Statistics, Linear Algebra, Probability
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5. **Move into ML** – Supervised learning → Unsupervised → Deep Learning
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## Agents
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Please, contribute about "agents"

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