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This repository contains my work from Winter of Code 7.0. The project covers everything from implementing core algorithms and working with datasets to training models and generating final predictions from scratch using just Python, NumPy, pandas and Matplotlib.

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ArnavTripathi1/PROJECT-WOC.7.0

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PROJECT WOC 7.0

This repository contains the project developed during Winter of Code 7.0 (WOC 7.0).

It is organized into the following main folders:

  • Algorithms: Contains various algorithms implemented throughout the project. Each algorithm is well-documented and includes complete source code.

  • Predictions: Showcases the predictions generated using the final models developed during the course of the project.

  • Data: Includes the dataset(s) provided for training, validation, testing, and generating predictions.

Additionally, a comprehensive project report is included, detailing the full development process, methodologies used, and results obtained.

The repository is structured to provide a clear understanding of the project’s progression - from algorithm development to model training and final predictions. It serves as a complete resource for exploring the work and outcomes achieved during WOC 7.0.

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This repository contains my work from Winter of Code 7.0. The project covers everything from implementing core algorithms and working with datasets to training models and generating final predictions from scratch using just Python, NumPy, pandas and Matplotlib.

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