From 7bf011e2edef3b3fb052124885dbe98f1ee4ffc4 Mon Sep 17 00:00:00 2001 From: tpique-ensae Date: Wed, 3 Apr 2024 19:24:59 +0000 Subject: [PATCH] est --- README.md | 17 ++--------------- 1 file changed, 2 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index e3c1a48..80b1984 100644 --- a/README.md +++ b/README.md @@ -7,19 +7,6 @@

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## Team 1 @@ -63,9 +50,9 @@ As the segments have to be linked to a probability of future purchase, we direct ### How run the code Codes have to be run in an order following their numbers. Each of them is described below : -- 1_Input_cleaning.py \ +- '1_Input_cleaning.py' \ Clean raw data and generate dataframes that will be used to build datasets with insightful variables. Datasets are exported to location 0_Input/. -- 2_Datasets_generation.py \ +- '2_Datasets_generation.py' \ Use dataframes previously created and aggregate them to create test and train set for each company. Databases are exported to location 1_Temp/1_0_Modelling_Datasets/ in a folder containing all 5 databases for a type of activity. - 3_Modelling_datasets.py \ For each type of activity, the test and train sets of the 5 tenants are concatenated. Databases are exported to location 1_Temp/1_0_Modelling_Datasets/.