# Business Understanding for Machine Learning – Predictive and Prescriptive Analysis

In the last Post, the explanation about machine learning and what is descriptive analysis has been provided. In this post, I am going to provide some overview of the Predictive and Prescriptive analysis Predictive Analysis Another analysis in machine learning in predictive analysis. Predictive analysis is about supervised learning. That means we want to Read more about Business Understanding for Machine Learning – Predictive and Prescriptive Analysis[…]

# Time series Series with Power BI- Forecast with Arima-Part 12

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[…]

# Time series Series with Power BI- Arima Model-Part 10

In this post, I want to explain the ARIM model (Autoregressive Integrated Moving Average). Exponential smoothing could not consider the relationship between the values in the different time span. while ARIMA able to handle these data. ARIMA Model needs three variables. ARIMA(p,d,q) First, let start with explanation of d value what is d? The first Read more about Time series Series with Power BI- Arima Model-Part 10[…]

# Power BI and R- Timeseries series Part 9- Decompose None seasonal Data

In the last posts, I have explained about some main concepts of Time series. How to decompose time series that has irregular, trend and seasonality components have been explained in: seasonality component decompose). now image we have a dataset that does not have any seasonality also does not show a clear trend. This data is Read more about Power BI and R- Timeseries series Part 9- Decompose None seasonal Data[…]

# New Series of Time Series: Power BI Custom Visual (Part 7)

In the last three parts, I have explained about the time series R custom Visual we have in Power BI. as you remember we have 3 main time series chart in Power BI store (see below): Decompose of time series (trend, seasonality and irregular components). the two other custom visual help us to do forecasting Read more about New Series of Time Series: Power BI Custom Visual (Part 7)[…]

# New Series of Time Series: Power BI Custom Visual (Part 6)

In the last post, I have explained how to do time series forecast using “Exponential Smoothing” approach in Power BI. I start to explain the main parameters that we need to set up. The main concepts behind of most of these parameters have been explained in previous posts (Post 4, Post 3, Post 2, and Read more about New Series of Time Series: Power BI Custom Visual (Part 6)[…]