🚀 Machine Learning & Advanced ML (From Scratch + TensorFlow)

This repository is a structured learning path for Machine Learning and Advanced ML concepts,
starting from core basics and moving towards deep learning & TensorFlow implementations.

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📌 What This Repo Covers

✔ Machine Learning fundamentals
✔ Neural Networks from scratch
✔ TensorFlow layer-wise implementation
✔ Activation functions & optimizers
✔ Advanced ML concepts (Regularization, BatchNorm, etc.)

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🧠 Who Is This Repo For?

• Beginners starting ML
• Students learning Neural Networks
• Developers moving into Deep Learning
• Anyone who wants clean, understandable ML code

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🗂 Repository Structure

01_Basics/ → ML foundations 02_Neural_Networks/ → NN from scratch 03_TensorFlow/ → TF-based models 04_Advanced_ML/ → AML concepts

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🧪 Technologies Used

• Python
• TensorFlow
• NumPy
• NLTK
• more coming soon

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⭐ Why Star This Repo?

• Clean & beginner-friendly code
• Concepts explained step-by-step
• Practical implementations
• Ideal for revision & interviews

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📈 Roadmap (Coming Soon)

• CNNs
• RNNs & LSTMs
• Real-world ML projects
• Model training & evaluation

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🤝 Contributing

Contributions are welcome!
Feel free to fork, improve, and submit a PR.

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📬 Author

Aman Gupta
Machine Learning Enthusiast 🚀