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A sandbox for exploring end-to-end machine learning operations: testing ideas, integrating tools, and building practical workflows around model development, deployment, and lifecycle management.
A collection of my deep learning learning journey - implementations from scratch covering core concepts like neural networks, activation functions, gradient descent, and backpropagation. Includes h…
A complete machine learning journey with hands-on notebooks, notes, and projects. Covers supervised and unsupervised learning, model evaluation, and more — all organized for practical learning and …
This GitHub repository is my personal hub of growth and discovery ✨—a dynamic space to track my journey, share progress, and showcase a variety of notebooks on Python, ML and data science. Dive in,…
Jupyter Notebook
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