Predictive Model to Predict Bankruptcy of a Company in Taiwan
In this project, I have explored data collected by a team of Taiwanese economists studying bankruptcy. The goal is to build a model that can predict whether a company will go bankrupt or not.
- Data extracted from a JSON file.
- Load and save files using Python
- Explore some of the features of the dataset, use visualizations to help us understand those features, and develop a model that solves the problem of imbalanced data by under- and over-sampling.
- Evaluate a model using classification metrics like precision and recall
