Azure Machine Learning Part 3: Data Transformation in R

In previous post I have explained how to import data into Azure ML environment. In this part,I will show how to do data cleaning, data transformation in Azure ML environment. The second step in machine learning process is bout collecting (Part 2), cleaning and loading data (current part). Azure ML has different components for data ...

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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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Part 4 – Live Streaming Weather Station with Cortana Analytics (Online Data Analytics with Azure ML)

In previous posts, I have showed the process of creating a live weather data streaming with Cortana. In Part 1 the process of setting up Raspberry PI3 and weather station sensor has been explained. Following, in Part 2, the process of setting up the Event Hub as a median to digest the data from Raspberry PI ...

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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 (http://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 ...

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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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