PROJECT OF STATISTICS FOR DATA SCIENCE
-
Updated
Sep 25, 2022 - R
PROJECT OF STATISTICS FOR DATA SCIENCE
Machine Learning Projects for Finance-related use cases
Project of a coursework - Multivariate Analysis (M.Stat Semester 2) under the supervision of Prof. Swagata Nandi. (Project Group : Adrija Saha, Shrayan Roy, Sampurna Mondal)
Debt Insolvency Income Prediction using Data Science
This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.
Classification model for Taiwanese companies bankruptcy, written in Jupyter Notebook using R.
Company Bankruptcy Prediction with Naïve Bayes Algorithm
Bankruptcy Prediction project, exploring sampling and imputation techniques, aimed at improving recall, for MTL782 (Data Mining) course offered in Spring 2021
This repo contains all the mini projects that I had to do while pursuing my Masters in Data Science. They helped me better actuate the knowledge that I gathered while pursuing my Masters Degree
Project of statistical methods for data science
R: Bankruptcy prediction - Polish and Slovak companies
Prediction bankruptcy of Taiwanese bank in the years 1999 to 2009.
Design and implementation of a dashboard to display AI-based bankruptcy forecasting with the help of multiple and differentiated key figures about the company situation
Bankruptcy Prediction Analysis of Enterprises based in Taiwan with Machine Learning Algorithms
Project of "Statistical Method" subject regarding business failure in the italian economic framework
A Machine Learning project to predict future bankruptcy of a company based on financial data
This is Mudit Vyas worked as ML Developer Intern , Team Leader in Technocolabs Software.This is Internship Project For Technocolabs Software.
Corporate Bankruptcy Prediction
Add a description, image, and links to the bankruptcy-prediction topic page so that developers can more easily learn about it.
To associate your repository with the bankruptcy-prediction topic, visit your repo's landing page and select "manage topics."