Road Map to use Microsoft ML tools

I normally work with most of the Microsoft tools for the aim of doing machine learning. I came up with a roadmap that shows what option for machine learning we have with Microsoft tools in Data Platform. this roadmap is not completed yet, I need to update it one later with some tools such azure ...

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Azure ML Package-Publish a Web service from R-Part2

In the last post, I have explained, how to use AzureML package with the aim of exploration of Azure ML studio experiments and datasets inside R studio environment. moreover how we can use this package to upload a dataset from R studio into Azure ML has been shown. In this post, I am going to ...

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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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Business Understanding for Machine Learning – Descriptive Analysis

Business Understanding Business understanding is the main and first step for doing machine learning in any platform or languages. Not all business problem can be addressed by machine learning approaches. There are some proposed categories for machine learning such as “Supervised Learning” and “Un-Supervised Learning”. Supervised Learning is about when we identify both input 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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Python Programming-Environment

Python is one of the famous programming languages and it is so common for Machine Learning. It is a multi-purpose language that has been leveraged with the aim of device programming, object-oriented programming, machine learning and so forth. In this post, I will introduce some of the common Python IDE programming environment for the aim of ...

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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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Azure ML workbench-Data Wrangling -Part 3

In the last posts, I have explained how to install Azure ML workbench and how to run a sample and check the accuracy. In this post, I am going to show how to do data wrangling using Azure ML workbench. Just click on the left menu, on the database icon. There are 2 separate groups ...

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