To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzes reviews to verify trustworthiness.
I have taught, and teach, a two-course data mining sequence for the MBA business analytics specialization at my university using Dr. Shmueli’s Data Mining for Business Analytics and Practical Time Series Forecasting textbooks. Both the supporting materials and the textbooks are high-quality products that match up well with the mathematical facility and technical skills of my students. The exposition is accessible to students with a wide range of backgrounds, and balanced between enough mathematics to explain the methods but not so much that it raises barriers to understanding. I looked far and wide for comparable texts, but I know of no other combination that meets the needs of my students as well as these two texts. I unhesitatingly recommend them both.
Really helpful. It's less about the codes in it than what it taught me about how to think about forecasting and the processes to go about before doing them. It is a phenomenal book. I do have one criticism which is, close to the end of the book it seemed like a rush to get it done, but, it's still worth the buy
While the book does go into some detail in some aspects, it is mostly a summary of some of the time series concepts...The main focus here is univariate time series analysis and after some research online most of these concepts can be found online, really wish there was more detailed examples and multiple pictures to help interpret the acf and pacf plots which are a main component to evaluating ARIMA models