# Identifying Number of Cluster in K-mean Algorithm in Power BI: Part 7

I have explained the main concept behind the Clustering algorithm in Post 5 and also I have explained how to do cluster analysis in Power BI in Part 6. In this post, I will explain how identify the best number of cluster for doing cluster analysis by looking on the “elbow chart” K-Mean clusters the data Read more about Identifying Number of Cluster in K-mean Algorithm in Power BI: Part 7[…]

# 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[…]

# 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 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 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[…]