Telecom Customer Churn Prediction Assessment
Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behavior, contract details and the payment details. The data also indicates which were the customers who canceled their service. Based on this past data, we need to build a model which can predict whether a customer will cancel their service in the future or not.
You are expected to do the following :
EDA (16 Marks)
How does the data looks like, Univariate and bivariate analysis. Plots and charts which illustrate the relationships between variables (4 Marks)
Look out for outliers and missing values (4 Marks)
Check for multicollinearity & treat it (4 Marks)
Summarize the insights you get from EDA (4 Marks)
Build Models and compare them to get to the best one (39 Marks)
Logistic Regression (8 Marks)
KNN (8 Marks)
Naive Bayes (8 Marks) (is it applicable here? comment and if it is not applicable, how can you build an NB model in this case?)
Model Comparison using Model Performance metrics & Interpretation (15 Marks)
Actionable Insights (5 marks)
Interpretation & Recommendations from the best model
Please note the following:
Your submission should have two files – 1) report in PDF format with a word limit of 3000 words, 2) R Code file. Appendices are not counted in the word limit.
You must give the sources of data presented. Do not refer to blogs; Wikipedia etc.
Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.Read more
Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.Read more
Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.Read more
Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.Read more
By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.Read more