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[…]
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[…]
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[…]
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[…]
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[…]
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[…]
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[…]