A Machine Learning project
userid - MongoDB userid
churn - Active = No | Suspended < 30 = No Else Churn = Yes
age - age of the customer
city - city of the customer
state - state where the customer lives
postal_code - zip code of the customer
zodiac_sign - zodiac sign of the customer
rent_or_own - Does the customer rents or owns a house
more_than_one_mobile_device - does the customer use more than one mobile device
payFreq - Pay Frequency of the cusomter
in_collections - is the customer in collections
loan_pending - is the loan pending
withdrawn_application - has the customer withdrawn the loan applicaiton
paid_off_loan - has the customer paid of the loan
did_not_accept_funding - customer did not accept funding
cash_back_engagement - Sum of cash back dollars received by a customer / No of days in the app
cash_back_amount - Sum of cash back dollars received by a customer
used_ios - Has the user used an iphone
used_android - Has the user used a android based phone
has_used_mobile_and_web - Has the user used mobile and web platforms
has_used_web - Has the user used MoneyLion Web app
has_used_mobile - as the user used MoneyLion app
has_reffered - Has the user referred
cards_clicked - How many times a user has clicked the cards
cards_not_helpful - How helpful was the cards
cards_helpful - How helpful was the cards
cards_viewed - How many times a user viewed the cards
cards_share - How many times a user shared his cards
trivia_view_results - How many times a user viewed trivia results
trivia_view_unlocked - How many times a user viewed trivia view unlocked screen
trivia_view_locked - How many times a user viewed trivia view locked screen
trivia_shared_results - How many times a user shared trivia results
trivia_played - How many times a user played trivia
re_linked_account - Has the user re linked account
un_linked_account - Has the user un linked account
credit_score - Customer's credit score