Merge pull request IBM#39 from adrianmahjour/master

Removing Outdated Demo and Adding New Demo
db2Dean · Aug 20, 2021 · 31599f0 · 31599f0
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diff --git a/...ng/Automated AI Model Development with IBM Cloud Pak for Data and Db2/README.md b/...ng/Automated AI Model Development with IBM Cloud Pak for Data and Db2/README.md
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+This repository holds the dataset and prerequisite notes/instructions required to do a hands-on walkthrough alongside the Db2 with WKC & Watson Studio demo.
+
+
+## Prerequisites
+Please complete the following requirements in order to follow along with this demo. 
+1. Have a Cloud Pak for Data cluster (this demo was not made for the public cloud IBM Cloud) with the Watson Knowledge Catalog and Watson Studio services installed. The Watson Studio should already have the machine learning instance activated
+2. `TelcoCustomers.csv` should already be loaded into a Db2 table. For instructions on how to load the Telco dataset into a Db2 table, reference below.
+
+
+## Downloading & Loading the Dataset into a Db2 Table
+Download the file TelcoCustomers.csv located in this repository. To load the TELCO dataset into your Db2 table:
+
+```
+db2start
+db2 connnect to <database_name>
+
+
+db2 "CREATE TABLE <table_schema>.<table_name>  (
+                  "CUSTOMERID" VARCHAR(20 OCTETS) ,
+                  "GENDER" VARCHAR(12 OCTETS) ,
+                  "EMAIL" VARCHAR(60 OCTETS) ,
+                  "PHONENUMBER" VARCHAR(36 OCTETS) ,
+                  "SENIORCITIZEN" INTEGER ,
+                  "PARTNER" VARCHAR(6 OCTETS) ,
+                  "DEPENDENTS" VARCHAR(6 OCTETS) ,
+                  "TENURE" INTEGER ,
+                  "PHONESERVICE" VARCHAR(6 OCTETS) ,
+                  "MULTIPLELINES" VARCHAR(32 OCTETS) ,
+                  "INTERNETSERVICE" VARCHAR(22 OCTETS) ,
+                  "ONLINESECURITY" VARCHAR(38 OCTETS) ,
+                  "ONLINEBACKUP" VARCHAR(38 OCTETS) ,
+                  "DEVICEPROTECTION" VARCHAR(38 OCTETS) ,
+                  "TECHSUPPORT" VARCHAR(38 OCTETS) ,
+                  "STREAMINGTV" VARCHAR(38 OCTETS) ,
+                  "STREAMINGMOVIES" VARCHAR(38 OCTETS) ,
+                  "CONTRACT" VARCHAR(28 OCTETS) ,
+                  "PAPERLESSBILLING" VARCHAR(6 OCTETS) ,
+                  "PAYMENTMETHOD" VARCHAR(50 OCTETS) ,
+                  "MONTHLYCHARGES" DOUBLE ,
+                  "TOTALCHARGES" DOUBLE ,
+                  "CHURN" VARCHAR(6 OCTETS) );"
+                
+db2 "IMPORT FROM TelcoCustomers.csv OF DEL skipcount 1 INSERT INTO <table.schema>.<table_name>"
+```
diff --git a/...ing/Automated AI Model Development with IBM Cloud Pak for Data and Db2/TelcoCustomers.csv b/...ing/Automated AI Model Development with IBM Cloud Pak for Data and Db2/TelcoCustomers.csv
diff --git a/...k for Data Trained ML Pipeline/Cloud Pak for Data Assets/customer_full_summary_latest.csv b/...k for Data Trained ML Pipeline/Cloud Pak for Data Assets/customer_full_summary_latest.csv
diff --git a/... Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/customer_segmentation_prep.py b/... Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/customer_segmentation_prep.py
diff --git a/... Cloud Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/original_csv_dtypes.pkl b/... Cloud Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/original_csv_dtypes.pkl
diff --git a/...with a Cloud Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/test_data_10K.csv b/...with a Cloud Pak for Data Trained ML Pipeline/Cloud Pak for Data Assets/test_data_10K.csv
diff --git a/...b2 Scoring with a Cloud Pak for Data Trained ML Pipeline/Notebooks/Dataset Creation.ipynb b/...b2 Scoring with a Cloud Pak for Data Trained ML Pipeline/Notebooks/Dataset Creation.ipynb