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📌 AI & ML Learning Progress | Module-wise Contributions #5

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Anusha0501
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This pull request tracks my contributions as I complete each module in this AI & ML roadmap repository. My files are located in the Anusha folder, and I will be documenting essential Python libraries and practical implementations for data science, machine learning, and deep learning.

✅ Completed Modules:

Module 0: Commonly Used AI/ML Python Libraries (ReadMe: Module0.ipynb)
NumPy: NumPy Documentation (Numpy.ipynb)
📌 Upcoming Contributions:

Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn, XGBoost, LightGBM, CatBoost, OpenCV, scikit-image, Pillow, TensorFlow, Keras, PyTorch, MXNet
💡 Personal Note 😊: This repository is my learning tracker, and ✅ indicates module completion. 🚀 Excited to continue documenting and implementing these AI/ML concepts!

@aadi1011
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All the best @Anusha0501. Keep adding your progress and feel free to use this thread to connect incase of any queries. Keep learning and building 🚀

@Anusha0501
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Yeah sure @aadi1011

@aadi1011 aadi1011 added the progress tracker Used to track individual progress and will not be pushed to source label Feb 22, 2025
@aadi1011
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Hi @Anusha0501 I have added an additional module 10 on learning Agentic AI. You may want to add that to your personal fork; ensuring your progress check marks are backed-up.

Happy to see your learning progress, keep learning!
Good luck 👍

@Anusha0501
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Hello @aadi1011 Yes, noted. I have updated my fork. Thank you for informing me.

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