Shefali Shrivastava's repositories
Object-detection-using-YOLOv8-and-RT-DETR
An initial comparison of YOLOv8 and RT-DETR for detecting objects in real-time; completed as a requirement for Applied Machine Learning course @ Columbia University
Practicing_supervised_learning_methods
Homework assignments from Applied ML class @ Columbia University; completed individually.
RAG-app-using-LlamaIndex
RAG chatbot built with a semi-automated LLMOps pipeline that scrapes GitHub README.md files for project ideas and insights, using LlamaIndex, Docker, Airflow, and AWS.
Synthetic-data-generation-for-imbalanced-data
Using OpenAI API 's chat completion capabilities to generate synthetic data.
DH-LCM
An initial attempt to apply DH-LCM and HeteroClustering algorithm on a real world dataset.
Information-extraction-using-Natural-Language-Processing
A heuristic-based analysis of linguistic dependency trees to extract deliberate actions associated with happiness on crowd-sourced database of 100k+ happy ‘moments’.
Book-recommender-system
A book recommender system with content and collaborative filtering based approach. Built as part of a project for Applied Data Science class at Columbia University.
ADS-Project-Evaluating-Machine-Learning-Fairness
Completed collaboratively as part of Applied Data Science class at Columbia University.
Project3-ClimSim-Fall2023-Group-2
This project was completed as part of a requirement for Applied Data Science course @ Columbia University by a team of 5.
Automatic_Qualtrics_Upload_on_GCP
This repository was created to link Qualtrics and BigQuery such that survey data is cleaned, transformed and uploaded on Google cloud at a pre-specified frequency at minimal cost.
ADS-Project2-ShinyApp
This project was completed as a part of 'Applied Data Science' course at Columbia University by a team of 5.
cornell-cs5785-2023-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2023)
Sentiment-analysis-from-MLOps-paradigm
This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD
Notes-Coursera-DevOps-
IBM DevOps and Software Engineering Professional Certificate Launch your DevOps and Software Engineering Career. Master DevOps, Agile, Scrum, CI/CD and Cloud Native with hands-on job-ready skills.