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CORPORTATE BANKRUPTCY PREDICTION

This is Internship Project For Technocolabs Software. The goal of the project is to identify the best classification model in terms of accuracy and performance for predicting the bankruptcy of corporations using various statistical forecasting techniques like Logistic Regression, LightBGM, Neural Network and Random Forest Classifier. Deploy ML model using Streamlit.

PROCESS OF PROJECT

  • BLUEPRINT
  • EDA
  • MODEL DEVELOPMENT
  • DEPLOYMENT OF ML MODEL

🔗 Links for Respective Project Works

Training Dataset

Test Dataset

Blueprint

EDA

Model Development

Deployment :: codes and files

Project Report

Bankruptcy Predictor App

🚀 About Me

Hola, mi nombre es Mudit I'm a Machine Learning and Data Science Enthusiast. I am interested in Business Analytics and Market Research as well as Predictve Finance Analysis. I am skilled in Python Language, Data Science and ML , Data Visualisation and Keras/ Tensorflow, Stramlit and Business Analytics.