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With R and Excel, these types of predictions are difficult to achieve. R allows for real-time predictions, while Excel, unfortunately, does not. This is where the Online Learning Library comes in. Our Online Learning Library offers over 100 courses designed specifically for power users to get the most out of the R and Excel. Today we are going to take a look at one of these courses, which we would recommend to anyone looking to make real-time predictions with either Excel or R. The course is called, “Predictive Analytics with Excel, including R” and it was developed by Peter Ten Hoeve and Luca Fiorini. The course is free, and you can learn more about it by visiting: The course consists of 17 lessons, plus an assessment that you must complete to get your certificate. In this post we will not be discussing any of the lesson content. Instead, we will focus on the application of the concepts that we will learn in the course. Let’s get started. How to install Mega AI Predictor To begin, you need to install Mega AI Predictor on your computer. The installation is fairly simple and you can do it using the application’s installer. Once installed, you can access the application from the Start Menu. You can click on the main application button, click on “File” and then click on “Open Project”. In the example above, the project file is saved as “mega_ai_predictor_2.7.3.xlsx System Requirements: Minimum: OS: Windows XP / Vista / 7 / 8 / 8.1 / 10 Processor: Intel Core 2 Duo RAM: 2 GB HDD: 5 GB free space Graphics: Intel HD Graphics 3000 (32-bit only) Recommended: OS: Windows 8 / 8.1 / 10 Processor: Intel Core i3 RAM: 4 GB HDD: 10 GB free space Graphics: Intel HD Graphics 4000 (32-bit only) Installation:
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