OverviewWhat is A/B testing?Case StudyData SetTest HypothesesAnalysis in PySparkLoad the data into SparkClean up the dataCalculate the summary of controlled and treatment groupZTest PySpark UDFCall the PySpark UDFConvert the Resulted Array to DataFra...
IntroductionWhat you need to know before reading this articleLet's GoEnable Title of a ParagraphRun ParagraphRun All Above or All BelowMove Paragraph UpMove Paragraph DownInsert New Paragraph BelowDelete ParagraphParagraphLine NumbersClear OutputUndo...
OverviewWhat you should know before reading this articleSolutionCreate New Project Select Data SourceCreate JDBC ConnectionBest PracticesOnly Share the Schemas RequiredCreate Business SchemasReuse and Share the Data across Multiple ML ProjectsReferen...
Overview Artificial intelligence(AI) and Machine learning(ML) are being applied to various industries. It is very exciting that Incorta supports integration with third-party AI/ML platforms. When you use AI/ML platform you can leverage the data tha...
OverviewCode for call to the prediction APILinks to articles that use the APIs under different scenarios Overview This article is part of the series of articles for integrating Incorta with AI/ML platform. The assumptions are that you have created...
Overview In this article, we assume that Incorta is running in an on-premise env and we can call Data Robot real-time API to get the prediction. Solution 1. Read the Incorta data in Incorta Notebook. 2. The Data Robot Prediction assumes that t...
Create analytics dashboards in Incorta with scored data from an outside AI/ML platform.
You can generate the data profiling report using SweetViz from Incorta Notebook. This article shows you step by step instructions.
Learn how to generate profile reports using Pandas Profiling package in Incorta Notebook
Incorta Notebook enables you to write SQL queries to create your data pipeline in Incorta Materalized Views.
Overview This is the second part of the articles that discusses level-based measures. The essential part of a level based measure is an aggregation that is calculated at a specific level of detail with a result can be repeated at the lower level ...
Compare the discounts given in different area, business units and at the different levels of details.
Learn how to install the python package in Incorta Cloud!
