K-mean clustering In R, writing R codes inside Power BI: Part 6

In the previous post,I have explained the main concepts and process behind the K-mean clustering algorithm. Now I am going to use this algorithm for classifying my Fitbit data in power BI.   as I have explained in part 5, I gathered theses data from Fitbit application and I am going to cluster them using ...

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Over fitting and Under fitting in Machine Learning

The main aim of machine learning is to learn from past data that able us to predict the future and upcoming data. It is so important that chosen algorithm able to mimic the actual behaviour of data. in the all different machine learning algorithms, there is away to enhance the prediction by better learning from ...

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Have more Charts by writing R codes inside Power BI: Part 3

In the previous parts (Part 1 and Part 2) , I have shown how to draw a chart in the power BI (Part 1) visualization. Also, in Part 2 I have shown how to present 5 different variables in just one single chart. In this post, I will show how to shows some sub plots in a ...

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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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Azure Machine Learning Part 2: Azure ML Environment

In the previous post, the main concepts of Machine Learning has been explained very briefly. However, if we want to talk about Machine Learning, it needs to read a whole book. In the second part, I am going to show the main Azure ML environment and its essential components. Azure ML has two type of ...

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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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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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Live streaming Weather station with Cortana Analytics – Part 1

Cortana analytics help organization to transform data into intelligence. In this post I will show how to use Cortana Analytics for IoT and Machine Learning Purpose. In propose scenario I will try to show some components of Cortana intelligence that has been used for collecting data from a weather station sensor and show the live temperature data ...

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