In the money raising question using debt,can you please explain how the answer is 50, because substituting 50 as the amount raised through debt give 250% not 10% stated in the question,thank you.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.