![]() ![]() Download the backup (.bak) file here, and save it on a location that SQL Server can access.įor example in the folder where SQL Server is installed.The dataset used in this tutorial is hosted in a SQL Server table.The table contains rental data from previous years. Then you save this model so that you can use it later when you want to make predictions against new data. ![]() This information will help us to get ready from a stock, staff and facilities perspective.ĭuring model training, you create and train a predictive model by showing it sample data along with the outcomes. In this specific scenario, we own a ski rental business, and we want to predict the number of rentals that After getting SQL Server with ML Services installed and your Python IDE configured on your machine, you can now proceed to train a predictive model with Python.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |