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[…]
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[…]
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[…]
K Nearest Neighbor (KNN ) is one of those algorithms that are very easy to understand and has a good accuracy in practice. KNN can be used in different fields from health, marketing, finance and so on [1]. KNN is easy to understand and also the code behind it in R also is too easy Read more about Prediction via KNN (K Nearest Neighbours) Concepts: Part 1[…]
In the Part one I have explained the main concepts of Market basket analysis (associative Rules) and how to write the code in R studio. In this post I will explained the process of doing market basket analysis in Power BI. for doing this post I have used the data set from [1]. Power BI Desktop, is Read more about Make Business Decisions: Market Basket Analysis Part 2[…]
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 Read more about Make Business Decisions: Market Basket Analysis Part 1[…]
In previous post you’ve learned about data structures in R. In this post I’ll explain Data Gathering, Data Understanding, and Data Cleaning, which are the main tasks of data management that need to be done before any machine learning process. In this post I will explain how to fetch data from Spreadsheet and SQL Server. Read more about R Data Gathering from Spreadsheet and SQL Server[…]
Every programming language has specific data structure. R language also has some predefined data structure that each of them can be useful for specific purposes. For doing machine learning in R, we normally use data structure such as Vector, List, Data Frame, factors, arrays and matrix. In this post I will explain some of them Read more about R Data Structures for Machine Learning[…]
In previous videos you’ve learned that we can demonstrate R visualization in Power BI, In this video you will learn how R visualization is working interactively with other elements in Power BI report. In fact Power BI works with R charts as a regular visualization and highlighting and selecting items in other elements of report Read more about Interactive R Charts in Power BI[…]
You have seen previously how we can use output of Azure ML model in a Power BI and visualize it with SandDance. In this video you will learn how to use R script as a source in Power BI desktop. Watch the video below;