Today’s topic will be to demonstrate tackling a Kaggle problem with XGBoost and F#. Comparing Quora question intent offers a perfect opportunity to work with XGBoost, a common tool used in Kaggle competitions. Luckily there is a .NET wrapper around the XGBoost library, XGBoost.Net.
The Power of the Forward Pipe
Read Time: 8 minutes… or Why I <3 the |> …
This is a light post, but I wanted to provide some advocacy for the |> (forward pipe). To F# developers, it is a well-known operator. It hardly needs introduction or promotion for heavier use. With that said, it can be underappreciated that F# provides native tooling for easy data processing development models. If F# is the ETL language, then |> is the glue that holds all of the processing components together.
K-Means Clustering with F#
Read Time: 13 minutesThe topic for today is leveraging K-Means clustering to perform simple Las Vegas hotel data analysis. This will be done using F# and Accord.NET.
F# and Serilog
Read Time: 5 minutesToday I’ll discuss two topics. The primary topic is implementing logging by leveraging Serilog with F#. The secondary topic is F# and .NET Core version 2.0. Due to the recent release of .NET Core 2.0 (now with better F# support), I thought this would be a good time to show how to implement an F# .NET Core project.