Category: Decision Tree

Azure Machine Learning Services : Automated Machine Learning -Part 2

Posted on by Leila Etaati

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[…]

Azure Machine Learning Services : Introduction – Part 1

Posted on by Leila Etaati

  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[…]

Applied more Analytics on your data with Key Influencer Visualization

Posted on by Leila Etaati

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[…]

R In Azure Data Lake- Part1- Sample Data

Posted on by Leila Etaati

Azure Data Lake store is one of the components in Microsoft cloud, that helps the developers, data scientists and analyst to store any data size, shape, and speed. Azure Data Lake is optimized for processing large amounts of data; it provides parallel processing with optimum performance. In Azure data lake we can create hierarchy data Read more about R In Azure Data Lake- Part1- Sample Data[…]

Azure ML Package-Part1

Posted on by Leila Etaati

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 Read more about Azure ML Package-Part1[…]

Microsoft SQl Server ML Services: RevoScaleR Package

Posted on by Leila Etaati

  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 Read more about Microsoft SQl Server ML Services: RevoScaleR Package[…]

Diagram your Database Tables using Power BI

Posted on by Philip Seamark

Ever wanted to create a diagram of your MS SQL Database tables in Power BI?  Here is what I did to make that happen. The approach is to build a query that can be run against the catalog system views inside each MS SQL database.  The approach is to build a list of “From” and Read more about Diagram your Database Tables using Power BI[…]

Decision Tree: Concepts- Part 1

Posted on by Leila Etaati

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 Read more about Decision Tree: Concepts- Part 1[…]