I started my journey as a web developer using Django. I built CRUD apps, worked with forms, and learned to structure backend logic. Over time, I became curious about how AI models work and decided to step into the world of machine learning.
The transition started with learning data handling — NumPy for numerical operations and pandas for working with datasets. Once I was comfortable, I explored scikit-learn for simple ML models like Linear Regression and Decision Trees.
Later, I dived into PyTorch to understand neural networks. I started building small projects — spam classifiers, image recognizers, and recommendation systems. The key was practicing consistently and integrating ML features into Django projects to keep things practical.
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