I received a patent on a mobility device I created that has completely changed the way I live around my home and look forward to being able to use one in public, to travel, and to get back to living a fully engaged
SELECT[fo].[OrderKey], [si].[LeadTimeDays], [fo].[Quantity]FROM[Fact].[Order]AS[fo]INNERJOIN[Dimension].[Stock Item]AS[si]ON[fo].[Stock ItemKey] = [si].[Stock ItemKey]WHERE[fo].[Quantity] =360; The query returns 336 rows. EnablingLive Query Statisticsdisplays the following plan...
A stock price application that fetches prices from a remote service using an HTTP call and caches prices temporarily in a grain. A BackgroundService periodically polls for updated stock prices from various StockGrain grains that correspond to a set of stock symbols....
SELECT [fo].[Order Key], [si].[Lead Time Days], [fo].[Quantity] FROM [Fact].[Order] AS [fo] INNER JOIN [Dimension].[Stock Item] AS [si] ON [fo].[Stock Item Key] = [si].[Stock Item Key] WHERE [fo].[Quantity] = 361; The query returns one row. Enabling Live Query St...
If you're attempting to predict stock price and trained a model at 95% accuracy, there's likely target leakage somewhere in your features. Use fewer features Removing features can also help with overfitting by preventing the model from having too many fields to use to memorize specific patterns...