Where theory meets practical application.

This site is the collection of my work in developing and deploying Machine Learning models across various datasets. Each model you see here has been carefully designed, trained, and fine-tuned to solve real-world problems

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Each Project is Packed With:

ML Model

The models in the form of output files (e.g., Pickle), which can be used to make predictions on new data via an API.

Brief Overview

For each model, have a brief overview of the problem statement, the dataset, and the model architecture.

Source Code

Link to the source code on GitHub, where you can find the code for the model, the data preprocessing, and the model evaluation.