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In this article, we will see how we can implement a simple customer churn model that is built by using Azure Machine Learning studio. This article will give us a starting point to understand how Azure ML based models are created and deployed in the most easy to understand manner. The experiment (Azure ML Model terminology) that I will refer to is based on a dummy customer data and is readily available on Azure ML Studio AI Gallery.
Understanding the Churn…Continue
As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical terms while performing analytical routine. One statistical term that is talked a lot but known very less in terms of its mechanics is R Squared statistics a.k.a. coefficient of determination. This statistics helps to measure the closeness of the data to the fitted line of regression.
It is also worth mentioning that by squaring the…Continue
Multicollinearity (Collinearity) is not a new term especially when dealing with multiple regression models. This phenomenon of relationship in between one response variable with the set of predictor variables also include models like classification and regression trees as well as neural networks. Collinearity is infamously famous for inflating the variance of at least one estimated regression coefficient, which can cause the model to predict erroneously and in a business setup it can have an…Continue