Azure Machine Learning Part 1: Introduction

In this series, I will talk about Microsoft cloud machine learning: Azure ML. I will explain the main components and concepts of Azure ML. In the first post, I will talk about the Machine Learning concepts and Azure ML. What is Machine Learning: Machine learning according to Wikipedia is: “subfield of computer science that gives ...

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Prediction via KNN (K Nearest Neighbours) KNN Power BI: Part 3

K Nearest Neighbour (KNN ) is one of those algorithms that are very easy to understand and it has a good level of accuracy in practice. In Part One of this series, I have explained the KNN concepts. In Part 2 I have explained the R code for KNN, how to write R code and how ...

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Prediction via KNN (K Nearest Neighbours) R codes: Part 2

In the previous post (Part 1), I have explained the concepts of KNN and how it works. In this post, I will explain how to use KNN for predict whether a patient with Cancer will be Benign or Malignant. This example is get from Brett book[1]. Imagine that we have a dataset on laboratory results of some patients ...

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Live streaming Weather station with Cortana Analytics – Part 2

Posted by on Feb 28, 2017 in Analytics, Cortana Analytics, IOT | One Comment

In previous post (, 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 ...

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Make Business Decisions: Market Basket Analysis Part 1

Posted by on Feb 14, 2017 in Analytics, Azure Machine Learning | 3 Comments

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 ...

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