Run R codes in Azure ML

  There is a possibility to run R codes and Python in Azure ML.  In this short post, I am going to show you how we can run an R codes to show some charts in Azure ML with ggplot2 package. I have a dataset about the dairy product in the USA. this dataset holds ...

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Azure ML Package-Part1

Azure ML Package is another Microsoft related package that allows you to upload and download datasets to and from AzureML, to interrogate experiments, to publish R functions as AzureML web services, and to run R data through existing web services and retrieve the output. Azure ML in R studio The first step- Installation First, you need ...

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Microsoft SQl Server ML Services: RevoScaleR Package

  RevoScaleR Package RevoScaleR is packages created by Revolution Analytics (own by Microsoft) with the aim of importing, transforming, and analyzing data at scale. There are different categories of functions for the data store, imports and save as, data transformation, draw some charts such as histogram, line and so forth, descriptive analysis, predictive analysis, package ...

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Data Wrangling in Power Query

Before machine learning, we need to go through two main processes: Data preparation and Data wrangling. Data preparation is about the collecting data from resources, integrate and load data in one resource, that is so like ETL (extract, transform, and load process) [2]. According to [2], Data wrangling is when we loaded the data and ...

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Creating Machine learning Development and Production Environment in Power BI-Part2

In the last post, I have explained how we can create a function with the aim of parametrising the machine learning process. In this post, I am going to explain how we able to create a Development and Production environment. Create Different Environment in Power Query to create a new environment, In power query, I ...

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Creating Machine learning Development and Production Environment in Power BI

  There is need to isolate the development and production environment in most of all projects. Setting up these environments help us to deliver a more reliable product to our customers. Machine learning projects also need a development, Test and Production environment. In this post, I am going to show you how we can do ...

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Decision Tree: Power BI- Part 2

In the last Part, I have talked about the main concepts behind the Decision Tree. In this post, I will show how to use decision tree component in Power BI with the aim of Predictive analysis in the report. in next post, I will explain how to fetch the data in Power Query to get a dynamic ...

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Decision Tree: Concepts- Part 1

A decision tree is one of the main approaches to machine learning. it is a really powerful tool for the aim of Prediction Descriptive analysis and feature selection In this post, I am going to show how decision tree works. In the future posts, I will show you some of the main algorithms for decision tree ...

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File Managment in Azure Data Lake Store(ADLS) using R Studio

In this post, I am going to share my experiment in how to do file management in ADLS using with R studio environment, So how it works? we able to manage ADLS from Rstudio environment using R scripts, so without accessing the ADLS we able to manage the portal, bring Data from ADLS to R ...

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