Make Business Decisions: Market Basket Analysis Part 2

In the Part one I have explained the main concepts of Market basket analysis (associative Rules) and how to write the code in R studio. In this post I will explained the process of doing market basket analysis in Power BI. for doing this post I have used the data set from [1]. Power BI Desktop, is Read more about Make Business Decisions: Market Basket Analysis Part 2[…]

Live streaming Weather station with Cortana Analytics – Part 2

In previous post (https://radacad.com/create-a-live-stream-weather-station-with-cortana-analytics-part-1), I have explained what is Cortana, What is IoT and how to set up the Raspberry pi3. In this post, I will explain the process of connecting weather station sensor to Raspberry Pi. Also, how to send data to the Event Hub and set it up. Get Weather Data For connecting Read more about Live streaming Weather station with Cortana Analytics – Part 2[…]

Make Business Decisions: Market Basket Analysis Part 1

Market Basket analysis (Associative rules), has been used for finding the purchasing customer behavior in shop stores to show the related item that have been sold together. This approach is not just used for marketing related products, but also for finding rules in health care, policies, events management and so forth. In this Post I will Read more about Make Business Decisions: Market Basket Analysis Part 1[…]

R Data Gathering from Spreadsheet and SQL Server

In previous post you’ve learned about data structures in R. In this post I’ll explain Data Gathering, Data Understanding, and Data Cleaning, which are the main tasks of data management that need to be done before any machine learning process. In this post I will explain how to fetch data from Spreadsheet and SQL Server. Read more about R Data Gathering from Spreadsheet and SQL Server[…]

R Data Structures for Machine Learning

Every programming language has specific data structure. R language also has some predefined data structure that each of them can be useful for specific purposes. For doing machine learning in R, we normally use data structure such as Vector, List, Data Frame, factors, arrays and matrix. In this post I will explain some of them Read more about R Data Structures for Machine Learning[…]

A Glance At My Speaking Life (In a Year)

This year was an active year in my speaking life, In almost a year I’ve done below speakings: One SQL Rally Session (Denmark, Nordic) One Microsoft Ignite (New Zealand) Five SQL Saturdays (Austria, USA, New Zealand, Australia) Bunch of User Group and Codecamp speakings I started my peaking life with talking about MS data mining Read more about A Glance At My Speaking Life (In a Year)[…]