Interactive Charts using R and Power BI: Create Custom Visual Part 3

In the last two posts (Part 1 and 2), I have explained the main process of creating the R custom Visual Packages in Power BI. there are some parts that still need improvement which I will do in next posts. In this post, I am going to show different R charts that can be used ...

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Interactive Charts using R and Power BI: Create Custom Visual Part 2

In the last posts I have explained the main process of creating the R custom visuals. In this post I am going to show how to: 1- Have more custom visuals 2- Different charts that we can have in Power BI 3- Explain some issues Have more custom visuals to have more R visuals , it ...

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Interactive Charts using R and Power BI: Create Custom Visual Part 1

I am so excited about using Plotly packages in Power BI. So What is Plotly: is an R package for creating interactive web-based graphs via the open source JavaScript graphing library :https://plot.ly/r/getting-started/ this feature has been added recently and had been announce by Christian Christian Berg in Data insight summit 2017. I started to search about ...

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Neural Network Concepts Part 1

In this and next one, I will share my understanding on Neural Network and how to write the related R code inside the Power BI. First, in this post I am going to explain what is main concept behind the Neural Network and How it works .The video https://www.youtube.com/watch?v=DG5-UyRBQD4&spfreload=10 helped me  a lot to get better ...

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Speaking Files in Microsoft Data Insight Summit 2017

Microsoft Data insight Summit 2017 has been held in Seattle from 12 to 13 Jun. It is the main conference for Microsoft Data Analysis with Power BI. All interesting and new topics in Power BI has been presented. Most of the speakers are from Microsoft product team or  experienced speakers in this fields. there are ...

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Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)

In the previous posts (from Part 1 to Part7), I have explained the whole process of doing machine learning inside the Azure ML, from import data, data cleaning, feature selection, training models, testing models, and evaluating. In the last post, I have explained one of the main ways of improving the algorithms performance name as “Tune ...

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Azure ML Part 8- Tune Parameters: Machine Learning Prediction (5)

In the previous posts from Part 1 to 7, I have explained how to do machine learning with Azure ML. I have explained some of the main components in Azure ML that helps us to do data wrangling, train the model, feature selection and evaluating the result. The data cleaning such as SQL transformation, select ...

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Azure ML Part 7: A Machine Learning Prediction scenario (4)

In the previous posts from Part 1 to 6, I have explained how to do machine learning process. The data cleaning such as SQL transformation, select specific columns, remove missing values,  Edit meta data, and normalize data.  Also, I have explained how to find relevant attributes  using Feature Selection Feature to identify which feature are more ...

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Azure ML Part 6: A Machine Learning Prediction scenario (3)

In previous posts (Part 4 and Part 5), I have explained some of the main components of Azure ML via a prediction scenario. In post one the process of data cleaning (using SQL Transformation, Cleaning Missing Value, Select specific Columns, and Edit Meta Data)  has been explained. and in the second Post, I have explained how to apply ...

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