Analysis of the factors that could have an impact on customer churn from the telecom operator. An attempt to predict which customers may opt out of the telecommunications operator's services.

File in the repository:

👉 Telco_Customer_Churn_Modelling.ipynb - Link to Google Colab

• generated a basic report on the input data frame using pandas_profiling;
• missing data in the 'TotalCharges' column have been supplemented with the median value in this column;
• data visualizations were created;
• data was divided into training data (70%) and testing data (30%);
• the following machine learning methods were tested: logistic regression, support vector machine, random forest, k-nearest neighbor, decision tree;
• churn probability for each client was calculated.