Business Understanding for Machine Learning – Descriptive Analysis

Posted on February 26, 2018 by Leila Etaati

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 Read more about Business Understanding for Machine Learning – Descriptive Analysis[…]

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

Posted on January 26, 2018 by Leila Etaati

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 Read more about Creating Machine learning Development and Production Environment in Power BI-Part2[…]

Python Programming-Environment

Posted on January 5, 2018January 5, 2018 by Leila Etaati

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 Read more about Python Programming-Environment[…]

Decision Tree: Power BI- Part 2

Posted on November 30, 2017November 30, 2017 by Leila Etaati

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 Read more about Decision Tree: Power BI- Part 2[…]

Azure ML workbench-Data Wrangling -Part 3

Posted on October 31, 2017 by Leila Etaati

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 Read more about Azure ML workbench-Data Wrangling -Part 3[…]

Azure ML workbench-Run Model-Part 2

Posted on October 25, 2017 by Leila Etaati

In the last post, I have shown how to install the Azure ML workbench. Also, I have shown an example of classification problem with iris data how to load it and run it I run the code on the local computer. as you can see in the below picture, the physical place is “local”, there is Read more about Azure ML workbench-Run Model-Part 2[…]

Azure ML workbench- Installation-Part 1

Posted on October 19, 2017October 21, 2017 by Leila Etaati

In Microsoft ignite 2017, Azure ML team announce new on-premises tools for doing machine learning. this tools much more comprehensive as it provides 1- a workspace helps data wrangling 2- Data Visualization 3-Easy to deploy 4-Support Python codes in this post and next posts, I will share my experiment with working this tools. first I got Read more about Azure ML workbench- Installation-Part 1[…]