What can you expect here?
While my Projects page is mostly for self-taught builds and late-night coding experiments, this space is dedicated to the actual algorithms, models, and lab work I do as a third-year Data Science student. It’s a mix of theory, practical implementation, and trying to figure out why the professor's code works but mine throws an error.
Programs | Mini Projects
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Sentence segmentation and word tokenization :
Basic sentence segmentation and word tokenization techniques using Python libraries.
View Segmentation and Tokenization Notebook on GitHub -
Stemming and Lemmatization :
Techniques for reducing words to their root forms.
View Stemming and Lemmatization Notebook on GitHub -
Loading and Exploring Datasets :
Methods for loading and exploring datasets in Python.
View Loading and Exploring Datasets Notebook on GitHub -
Bag of Words representation using python :
A simple implementation of the Bag of Words model for text representation.
View Bag of Words Notebook on GitHub -
Linear Regression Implementation :
To predict housing prices based on features such as size and location.
View Linear Regression Notebook on GitHub
Research Drafts & Concepts
A space for my academic drafts, feasibility studies, and literature reviews. Because apparently, you can't just build an app—you have to write a 20-page document proving it's actually a good idea first.
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Sustainable Community Development Through Peer-to-Peer Learning (Working Draft)
My first formal research paper exploring how we can replace isolated online courses with real-world and digital shadowing experiences. It dives into the psychological drawbacks of unguided e-learning and the necessity of community-driven skill sharing.
Related Links:
Read the Working Draft (Still writing it, please hold)
Save my grade: Be a legend. Participate in the Research (I promise it's short)
Read the FAQ: Answering the questions from the absolute legends who actually filled out my research form.