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PythonSQL

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PythonSQL

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DeserializeSavePlots.py
DeserializeSavePlots.py
 
 
DeserializeSavePlots2.py
DeserializeSavePlots2.py
 
 
Download_Scripts_SQL_Walkthrough.ps1
Download_Scripts_SQL_Walkthrough.ps1
 
 
FilestoDownload_SQL_Walkthrough.txt
FilestoDownload_SQL_Walkthrough.txt
 
 
PredictTipRxPy.sql
PredictTipRxPy.sql
 
 
PredictTipSciKitPy.sql
PredictTipSciKitPy.sql
 
 
PredictTipSingleModeRxPy.sql
PredictTipSingleModeRxPy.sql
 
 
PredictTipSingleModeSciKitPy.sql
PredictTipSingleModeSciKitPy.sql
 
 
Readme.md
Readme.md
 
 
RunSQL_SQL_Walkthrough.ps1
RunSQL_SQL_Walkthrough.ps1
 
 
SerializePlots.sql
SerializePlots.sql
 
 
TrainTipPredictionModelRxPy.sql
TrainTipPredictionModelRxPy.sql
 
 
TrainTipPredictionModelSciKitPy.sql
TrainTipPredictionModelSciKitPy.sql
 
 
TrainingTestingSplit.sql
TrainingTestingSplit.sql
 
 
create-db-tb-upload-data.sql
create-db-tb-upload-data.sql
 
 
fnCalculateDistance.sql
fnCalculateDistance.sql
 
 
fnEngineerFeatures.sql
fnEngineerFeatures.sql
 
 
taxiimportfmt.xml
taxiimportfmt.xml
 
 
varbinplot.fmt
varbinplot.fmt
 
 

Readme.md

SQL Server 2017 (CTP 2.0) with Machine Learning Services now includes Python-based advanced analytics (AA) capabilities. Python is one of the most popular languages for AA wtih a rich ecosystem of libraries. Therefore, the 2017 release significantly enhances the AA capabilities of SQL Server and makes it an accessible platform for large community of data scientists & programmers developing intelligent applications.

This folder in the repo contains code and instructions for SQL-developers on how to perform a walkthrough for creating intelligent applications in SQL Server 2017 (CTP 2.0) using Python.