Data
Data_Science_Nigeria_Telecoms_Churn

Data_Science_Nigeria_Telecoms_Churn

active ARFF Unknown Visibility: public Uploaded 05-10-2022 by louis geiler
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Churn happens when customers are leaving their current service provider and moving to another one. This is a big business problem because it is more expensive to acquire a new customer than to keep an existing one from leaving. This explains this challenge, which is one of the pre-qualification to the 2018 Data Science Nigeria all-expense paid bootcam/hackathon scheduled to hold 10-15 October, 2018. Read up, fine your model, build incremental statistical thinking and reinforce your Data Science career growth. An academic data has been used here to help participants classify potential customers who might churn. Please note that a balanced dataset has been used

0 features

churn_status (target)numeric2 unique values
1 missing
customer_idstring1400 unique values
1 missing
network_agenumeric1038 unique values
1 missing
customer_tenure_in_monthnumeric1038 unique values
1 missing
total_spend_in_months_1_and_2_of_2017numeric1387 unique values
1 missing
total_sms_spendnumeric712 unique values
1 missing
total_data_spendnumeric241 unique values
1 missing
total_data_consumptionnumeric1394 unique values
1 missing
total_unique_callsnumeric503 unique values
1 missing
total_onnet_spend_numeric851 unique values
1 missing
total_offnet_spendnumeric1126 unique values
1 missing
total_call_centre_complaint_callsnumeric19 unique values
1 missing
network_type_subscription_in_month_1string3 unique values
176 missing
network_type_subscription_in_month_2string3 unique values
145 missing
most_loved_competitor_network_in_in_month_1string7 unique values
2 missing
most_loved_competitor_network_in_in_month_2string6 unique values
2 missing

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