In the last post, I have explained how we can create a function with the aim of parametrising the machine learning process. In this post, I am going to explain how we able to create a Development and Production environment. Create Different Environment in Power Query to create a new environment, In power query, I Read more about Creating Machine learning Development and Production Environment in Power BI-Part2[…]
There is need to isolate the development and production environment in most of all projects. Setting up these environments help us to deliver a more reliable product to our customers. Machine learning projects also need a development, Test and Production environment. In this post, I am going to show you how we can do Read more about Creating Machine learning Development and Production Environment in Power BI[…]
Python is one of the famous programming languages and it is so common for Machine Learning. It is a multi-purpose language that has been leveraged with the aim of device programming, object-oriented programming, machine learning and so forth. In this post, I will introduce some of the common Python IDE programming environment for the aim of Read more about Python Programming-Environment[…]
In the last Part, I have talked about the main concepts behind the Decision Tree. In this post, I will show how to use decision tree component in Power BI with the aim of Predictive analysis in the report. in next post, I will explain how to fetch the data in Power Query to get a dynamic Read more about Decision Tree: Power BI- Part 2[…]
A decision tree is one of the main approaches to machine learning. it is a really powerful tool for the aim of Prediction Descriptive analysis and feature selection In this post, I am going to show how decision tree works. In the future posts, I will show you some of the main algorithms for decision tree Read more about Decision Tree: Concepts- Part 1[…]
In the last posts, I have explained how to install Azure ML workbench and how to run a sample and check the accuracy. In this post, I am going to show how to do data wrangling using Azure ML workbench. Just click on the left menu, on the database icon. There are 2 separate groups Read more about Azure ML workbench-Data Wrangling -Part 3[…]
In Microsoft ignite 2017, Azure ML team announce new on-premises tools for doing machine learning. this tools much more comprehensive as it provides 1- a workspace helps data wrangling 2- Data Visualization 3-Easy to deploy 4-Support Python codes in this post and next posts, I will share my experiment with working this tools. first I got Read more about Azure ML workbench- Installation-Part 1[…]
In the last posts (Series of Time Series), I have explained about what is ARIMA, what is d,p, and q in ARIMA (p,d,q). In this post, I will talk about how to use ARIMA for forecasting and how to handle the seasonality parameters. in the last example for the age of death of the England king, Read more about Time series Series with Power BI- Forecast with Arima-Part 12[…]
In this post, I am going to share my experiment in how to do file management in ADLS using with R studio environment, So how it works? we able to manage ADLS from Rstudio environment using R scripts, so without accessing the ADLS we able to manage the portal, bring Data from ADLS to R Read more about File Managment in Azure Data Lake Store(ADLS) using R Studio[…]
Power BI World Tour in San Francisco ran on 4th and 5th of October in Bay Area (Microsoft Sunnyvale). As a speaker, it is always a great opportunity for me and Leila to speak in such events and meet new people in the community. In San Francisco world tour, Leila and I presented 4 topics Read more about Download Slides of Presentations in Power BI World Tour San Francisco[…]