This repository contains projects that have been done for Practicum Yandex100 training program.
‘Churn’ — the fact of churn for the month in question
Current dataset fields:
User data for the preceding month
‘gender’
‘Near_Location’ — whether the user lives or works in the neighborhood where the gym is located
‘Partner’ — whether the user is an employee of a partner company (the gym has partner companies whose employees get discounts; in those cases the gym stores information on customers’ employers)
Promo_friends — whether the user originally signed up through a “bring a friend” offer (they used a friend’s promo code when paying for their first membership)
‘Phone’ — whether the user provided their phone number
‘Age’
‘Lifetime’ — the time (in months) since the customer first came to the gym
Data from the log of visits and purchases and data on current membership status
‘Contract_period’ — 1 month, 3 months, 6 months, or 1 year
‘Month_to_end_contract’ — the months remaining until the contract expires
‘Group_visits’ — whether the user takes part in group sessions
‘Avg_class_frequency_total’ — average frequency of visits per week over the customer’s lifetime
‘Avg_class_frequency_current_month’ — average frequency of visits per week over the preceding month
‘Avg_additional_charges_total’ — the total amount of money spent on other gym services: cafe, athletic goods, cosmetics, massages, etc.
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The aim of the project is to develope a customer interaction strategy based on analytical data for gym chain Model Fitness. We will develope a model for predicting the probability of churn (for the upcoming month) for each customer.
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