AYUSH OTURKAR's Projects
Reference QnAs
Coursera
Guide to write efficient code - Forked from Youssef Hosni
Developed a robust credit card Fraud detection model on highly imbalance credit card transaction data.
Did some Advanced Analytics on gamers data to help coaches optimize the competition pool and source right talent leveraging insights from historic data.
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
DevOps + MLOps Test
Rutgers MSDS-534 computing resources (Fall 2023)
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
Aim of this project is to develop a robust predictive model for accurately forecasting product sales across multiple shops, even under conditions of varying shop and product availability. This project will utilize a real-world dataset containing daily historical sales data, spanning January 2013 to October 2015, along with other supplemental info.
Helper file for quickly brushing Python Syntax and logics
Implementation of SHAPly values for Black box model interpretation on Diabetes multi-class classification Dataset
Statistical & Predictive Analysis of Song Polularity. Involves Hypothesis testing & detailed exploration of levers affecting a song popolarity.
Forecasting total tourist inflow using R given historic data as a POC for tourism based organization