AYUSH OTURKAR's repositories
Predict_Future_Sales_Spring-Capstone
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.
msds-534-2023
Rutgers MSDS-534 computing resources (Fall 2023)
Data-Science-Interview-Questions-Answers
Reference QnAs
polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
Song-Popularity-Prediction
Statistical & Predictive Analysis of Song Polularity. Involves Hypothesis testing & detailed exploration of levers affecting a song popolarity.
Efficient-Python-for-Data-Scientists
Guide to write efficient code - Forked from Youssef Hosni
Game_Analytics_EG
Did some Advanced Analytics on gamers data to help coaches optimize the competition pool and source right talent leveraging insights from historic data.
Fraud-Detection-Model
Developed a robust credit card Fraud detection model on highly imbalance credit card transaction data.
Python_Helper
Helper file for quickly brushing Python Syntax and logics
MLOPS_AYUSH
DevOps + MLOps Test
MLOps-IRIS
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
LightGBM-with-Focal-Loss
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Tourist-number-ARIMA-Forecasting
Forecasting total tourist inflow using R given historic data as a POC for tourism based organization