How many years of data you would recommend to use to calculate share price using DCF plus WACC? Right now I am using 4 years of data. however, I see if I include more data then it changes my share price.
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.