Azure ML Part 5: A Machine Learning Prediction scenario (2)

In the previous Post , I start to do prediction the cancer diagnosis using some laboratory data. I have explained some of the main components for doing the data cleaning such as “SQL Transformation”, “Edit Meta Data”, “Select Columns” and “Missing Values”. In this post I am going to show the rest of data cleaning Read more about Azure ML Part 5: A Machine Learning Prediction scenario (2)[…]

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 Read more about K-mean clustering In R, writing R codes inside Power BI: Part 6[…]

Clustering Concepts , writing R codes inside Power BI: Part 5

Sometimes we just need to see the natural trend and behaviour of data without doing any predictions. we just want to check how our business data can be naturally grouped. According to the Wikipedia , Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) Read more about Clustering Concepts , writing R codes inside Power BI: Part 5[…]

Variable Width Column  Chart, writing R codes inside Power BI: Part 4

In the part 1, I have explained how to use R visualization inside Power BI. In the second part the process of visualization of five dimension in a single chart has been presented in Part 2, and finally in the part 3 the map visualization with embedded chart has been presented. In current post and next ones I Read more about Variable Width Column  Chart, writing R codes inside Power BI: Part 4[…]

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 Read more about Have more Charts by writing R codes inside Power BI: Part 3[…]

Have more Charts by writing R codes inside Power BI: Part 2

In the previous post (Part 1) I have explained how to write a simple scatter chart in the Power BI. Now in this post I am going to show how to present 5 different values in just one chart via writing R scripts. I will continue the codes that I wrote in the previous post  as below : Read more about Have more Charts by writing R codes inside Power BI: Part 2[…]

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 Read more about Azure Machine Learning Part 3: Data Transformation in R[…]

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 Read more about Azure Machine Learning Part 1: Introduction[…]

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 Read more about Prediction via KNN (K Nearest Neighbours) KNN Power BI: Part 3[…]

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 Read more about Prediction via KNN (K Nearest Neighbours) R codes: Part 2[…]