KanimozhiU

Recommendation-Algorithms

This repository consists of multiple algorithms ranging from statistical modelling to ML/DL algorithms implemented and evaluated for their performance on open-source datasets.

ai-powered-search

AI-Powered Search

Building-AI-Products-with-OpenAI

Creating Newsletter out of Podcasts using Colab, OpenAI, Modal, Streamlit

Clinical-Data-Science

Clinical NLP and NLG

Data-Science-Courses

Data science starter kit covering all core concepts (with code walkthrough) such as Algorithms, Program flow, Statistics, Data Structures, OOPs, & SQL.

edu

Educational materials on deep learning by Weights & Biases

group_study_plans_and_notes

This repo consists of study materials and relevant resources across domains such as NLP, ML/DL, Computer Vision, etc.,

LangChain-and-Vetor-Databases-in-Production

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

ML-Open-Surces-Tools-and-Models

Collective information on the tools that are available for ML processing and MLOps

NLP-Text-Processing-

Text data handling - preprocessing, retrieval and extraction, parsing, translation etc.,

ProductRecSys

Building a product recommendation engine involves multiple data points and types being considered, this repo consists of handling text(reviews) - extract tags/keyphrases from reviews and classify them using multiple techniques for building Tag-based recommenders. Also, includes building ML/DL algorithms to build recommenders using open-source datasets.

Semantic-Search-Algorithms

This repository consists of running code examples of algorithms for enabling semantic or personalized search.

SQL