FluxML
add blog about working with tabular data using FastAI.jl
The post explores some of the work done for FastAI.jl Development as a part of GSoC'21 (container pr, transformation pr) under the mentorship of @darsnack, @ToucheSir and @lorenzoh, and shows how to get started with working on tabular data by creating a container, and performing various transformations on it.
Hey @manikyabard it would be great to get this wrapped up, let me know if I can help in any way!
Sure @logankilpatrick, I'll get this done (although the next 2-3 weeks look a little busy for me, so this might take a bit). Also just wanted to get a confirmation from @darsnack, @ToucheSir, or @lorenzoh if it's fine to put this post here since we were talking about putting this on the FastAI.jl website as well. I think we did discuss this a few ML Community calls ago but can't remember what our opinion was on that.
Another thing is that this blog mainly focused previously on loading the data and performing some transformations on it (mainly because this was all the code that was written at that time), but we have come a long way from that, and can probably include more functionalities such as creating and training tabular models with the data.
I think it's fine to post this on FluxML, but I agree the content should be expanded to include the full GSoC.
