The aim of this project is to develop a binary classification machine learning model capable of predicting churn in a dataset of telecom users. Moreover, in this project the model will be deployed successfully and a suitable interactive application made available for user interaction.
The aim of this project is to develop a binary classification machine learning model capable of predicting churn in a dataset of telecom users. Moreover, in this project the model will be deployed successfully and a suitable interactive application made available for user interaction.
The aim of this project is to develop a binary classification machine learning model capable of predicting churn in a dataset of telecom users. Moreover, in this project the model will be deployed successfully and a suitable interactive application made available for user interaction.