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Customer Churn Calculation

score 36 · Answer 1 · 2024-03-29T00:17:16.173000

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Customer Churn Calculation

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score 44 · Answer 2 · 2023-11-29T09:20:08.727000

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score 86 · Answer 3 · 2023-05-24T20:04:26.543000

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score 21 · Answer 4 · 2023-05-10T17:17:45.753000

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21 views Asked by B F At 10 May 2023 at 17:17

score 162 · Answer 5 · 2022-11-21T23:11:46.537000

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162 views Asked by JoMcGee At 21 November 2022 at 23:11

score 97 · Answer 6 · 2022-10-29T13:10:53.360000

How do I extract for each row in a data frame, the column that contains the first 0 knowing that all the following values have to be zeros too (R)

97 views Asked by Rime Laafia At 29 October 2022 at 13:10

score 722 · Answer 7 · 2022-07-21T06:15:08.720000

Churn prediction with time series. Analyze client behavior in dynamic

722 views Asked by Sabrina Kadirova At 21 July 2022 at 06:15

score 93 · Answer 8 · 2022-07-08T16:46:08.210000

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93 views Asked by automation_m At 08 July 2022 at 16:46

score 573 · Answer 9 · 2022-06-30T06:44:47.130000

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573 views Asked by Ghost At 30 June 2022 at 06:44

score 2357 · Answer 10 · 2022-06-22T04:21:57.983000

Use SQL to get monthly churn count and churn rate

2.3k views Asked by union77 At 22 June 2022 at 04:21

score 60 · Answer 11 · 2022-06-02T14:22:04.053000

What to do when one feature has very large importance/weight?

60 views Asked by Daria At 02 June 2022 at 14:22

score 120 · Answer 12 · 2022-05-18T16:01:07.407000

What's the best way to calculate retention if all I have is userIds?

120 views Asked by Sergey Rudenko At 18 May 2022 at 16:01

score 515 · Answer 13 · 2022-04-17T18:21:02.693000

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515 views Asked by Lunana At 17 April 2022 at 18:21

score 61 · Answer 14 · 2022-02-01T15:34:45.530000

How to add some global and local explainability to a predictions to understand for which reasons a customer churns?

61 views Asked by JohnDoe_Scientist At 01 February 2022 at 15:34

score 217 · Answer 15 · 2021-12-15T10:54:43.553000

Get users churn rate grouped by years in SQL request

217 views Asked by Dmitry At 15 December 2021 at 10:54

score 215 · Answer 16 · 2021-09-07T08:58:16.330000

How to calculate churn based on customer ID / emails?

215 views Asked by PeterPost At 07 September 2021 at 08:58

score 60 · Answer 17 · 2021-05-15T23:10:52.120000

Need to divide a Dataframe in various tables using multiple categories and date time

60 views Asked by Juan Pablo Clavijo At 15 May 2021 at 23:10

score 679 · Answer 18 · 2021-05-14T02:48:54.713000

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679 views Asked by idealunique At 14 May 2021 at 02:48

score 147 · Answer 19 · 2021-05-04T03:54:26.193000

Best approach to classify the dataset below into two classes and later remove the redundant rows using Pyspark?

147 views Asked by Deb At 04 May 2021 at 03:54

score 61 · Answer 20 · 2021-01-17T12:19:18.073000

How to filter and group data imported from several tables in Redshift?

61 views Asked by Liliia Lutsenko At 17 January 2021 at 12:19

TechQA.

List Question

Customer Churn Calculation

Time Series Binary Prediction

Showing details of 'Lapsed' customers in a given month in Power BI

XGBoost Churn-How to decrease churn

Calculate Monthly Churn

How do I extract for each row in a data frame, the column that contains the first 0 knowing that all the following values have to be zeros too (R)

Churn prediction with time series. Analyze client behavior in dynamic

postgres simple churn/retention

Turning metric values into buckets in Power bi

Use SQL to get monthly churn count and churn rate

What to do when one feature has very large importance/weight?

What's the best way to calculate retention if all I have is userIds?

Google bigquery (GBQ) churn / retention rate from previous month

How to add some global and local explainability to a predictions to understand for which reasons a customer churns?

Get users churn rate grouped by years in SQL request

How to calculate churn based on customer ID / emails?

Need to divide a Dataframe in various tables using multiple categories and date time

How to find churned customers on a monthly basis? Python Pandas

Best approach to classify the dataset below into two classes and later remove the redundant rows using Pyspark?

How to filter and group data imported from several tables in Redshift?

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