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An easy to use Amazon Recommendation System using Cosine Similarity.

License: MIT License

Jupyter Notebook 100.00%
amazon-apparel-recommendation bag-of-words cosine-similarity data-statictics heatmaps json pairwise-comparison recommendation-system requests-beautifulsoup4 tfidf url-parsing

amazon-apparel-recommendation-system's Introduction

About Me

Recently I participated in Amazon Machine Learning challenge in which my team secured a national rank of 17 out of 10000+ registered participants. The challenge was to perform Multi-Class Text Classification on a HUGE imbalanced dataset of ~3 Million samples and classify them into 9919 unique classes. Some tiny mistakes and we missed our spot in the top 10 just by <1% metric differential :(

Currently, I am diving into the world of React Native by building some cool and unique projects. I am exploring more in UI/UX and product development as well on the side. I have done various projects on Computer Vision, Machine Learning and Deep Learning. Presently I hold the Master rank at MachineHack and I love to write technical SOTA blogs on medium.

Fun Fact : I love creating UI/UX designs!

My Tech Stack🚀

Machine Learning Stack

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Development Stack

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Design

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Other

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⚡ GitHub and WakaTime Stats

NOTE: Top languages does not indicate my skill level or anything like that. It is just a metric of which languages have been hosted by me on GitHub based on the usage across repositories. There are others which I haven't put up on GitHub.

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