Telco Churn Model
A project where I did all the steps in a data science project from understanding the problem to gathering the data, cleaning them up, doing all the exploratory data analysis, looking for correlations, drawing conclusions, making a presentation with our findings, training the models, creating a flask application and, put the model into production. The data was collected in Kaggle and concerns the information about customers on Telco company. The data is labeled, and our model predicts if the customer will churn. A typical classification problem.
