Given dataset contains data of feedback given by customers.
It contains a total of five categories: 'Bug', 'comments', 'complaints', 'meaningless', 'requests'.
My task was to build a machine learning / deep learning model to predict the categories of feedback.
- Introduction
- Data Injection
- Data Visualisation
- Data Cleaning and Preparation
- Training
5.1. One Vs All
5.2.Artificial Neural Network - Evaluation by graph
- Prediction
- Saving model
The data suffers from the problem of undersampling which makes it more interasting to solve.