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)[…]

Azure ML Part 4: A Machine Learning Prediction scenario (1)

In previous Posts Part 1, Part 2 and Part3  I have explain some about the azure Ml environment, how to import data into it and finally how to do data transformation using Azure ML component. In this post and the next one I am going to show how to do a Machine Learning in Azure Read more about Azure ML Part 4: A Machine Learning Prediction scenario (1)[…]

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[…]

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 Read more about Over fitting and Under fitting in Machine Learning[…]

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[…]

Have more Charts by writing R codes inside Power BI: Part 1

Power BI recently able users to embedded the R graphs in Power BI. There are some R visuals that it would be very nice to have them in Power BI. What is R ? Based on Wikipedia,  R is an open source programming language and software environment for statistical computing and graphics that is supported Read more about Have more Charts by writing R codes inside Power BI: Part 1[…]

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 Read more about Azure Machine Learning Part 2: Azure ML Environment[…]

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[…]