Prediction Model in Azure Notebooks using Python: a Sample Project by Microsoft

As I mentioned in Post, Azure Notebooks is combination of the Jupyter Notebook and Azure. There is a possibility to run your own python, R and F# code on Azure Notebook. In post series, I will share my experience working with Azure Notebook. First, in this post, I will share my first experience of working with Read more about Prediction Model in Azure Notebooks using Python: a Sample Project by Microsoft[…]

Azure Automated Machine Learning- Part 5

  Azure ML Services has a new component that has been announced a couple of months ago, name Automated Machine Learning. I already start to write about Azure ML Services and Automated ML specifically recently ( which will continue 🙂 ). In Post one to 4 you can find all discussions ( Post 1, Post 2, Post Read more about Azure Automated Machine Learning- Part 5[…]

Automated Machine Learning: Data Profiling in Azure ML Services – Part 4

In the last 3 posts ( introduction to Azure ML Service, AutoML Environment and how to deploy the models), some demonstration on how we able to access Automated Machine learning and how to deploy a model has been discussed. In this short post, I am going to show a section that helps you to understand Read more about Automated Machine Learning: Data Profiling in Azure ML Services – Part 4[…]

Azure Machine Learning Services : Deploy AutoML Model and Use it in Power BI- Part 3

  As I have discussed in part 1 and Part 2, the new possibility of creating machine learning without writing any Python or R codes is so amazing. In Part One, the difference between Azure ML Studio (the traditional one) and the Azure ML Services (new component) has been very briefly explained. (I will write Read more about Azure Machine Learning Services : Deploy AutoML Model and Use it in Power BI- Part 3[…]

Azure Machine Learning Services : Automated Machine Learning -Part 2

In the last post, what is Azure ML Studio and Azure ML Services has been explained briefly. In this post, I will explain how to use Automated machine learning service. Automated machine learning (automated ML) picks an algorithm and hyperparameters for you and generates a model ready for deployment. Automated machine learning helps to identify Read more about Azure Machine Learning Services : Automated Machine Learning -Part 2[…]

Image and Activity Processing Application with Cognitive Service, Power Apps and Microsoft Flow

There are lots of possibilities to embed cognitive services API in application like Power apps with help of Microsoft flow in the last posts, I have shown how to create Face Recognition application or How to create an OCR application to convert image to text. Face Recognition Application with Power Apps, Microsoft Flow and Cognitive Read more about Image and Activity Processing Application with Cognitive Service, Power Apps and Microsoft Flow[…]

Azure Machine Learning Services : Introduction – Part 1

  In this post series, I am going to show how we can use Azure Machine learning services and the new features added that make life so easy to train, deploy, automate managing machine learning models [1]. In this post, first I will show how to use a no code environment for Auto ML, how Read more about Azure Machine Learning Services : Introduction – Part 1[…]

Export data from Power Query to Local Machine or SQL Server using R scripts

There is always a discussion on how to store back the data from Power BI to local computer or SQL Server Databases, in this short blog, I will show how to do it by writing R scripts inside Power Query.   First how to Store Files to PC To store data back to a file Read more about Export data from Power Query to Local Machine or SQL Server using R scripts[…]

Applied more Analytics on your data with Key Influencer Visualization

In this post, I am going to demonstrate a new visualization that has been released by the AI team in Power BI in recent months. Before showing off the nice features, there are some key points about this visual. http://datascientistyuyuria.blogspot.com/2017/06/ It can be used by Data sciences, Data engineer and End users.  It is easy Read more about Applied more Analytics on your data with Key Influencer Visualization[…]

AI in Dataflow, Azure ML Studio Integration with Power BI Services – Part 3

  In the last two parts, first how we able to use cognitive service in Power BI service (Data flow) has been explained. Then in the second one, the process of using a Pre-built machine learning model for prediction ( classification, regression, and forecasting) has been explained. In this post, I am going to show Read more about AI in Dataflow, Azure ML Studio Integration with Power BI Services – Part 3[…]