Wow, this is a surprisingly sober look at using ML for this particular problem. I really appreciate how the author walks through every step and the rationale behind it, spending as much time on explaining the dataset and cleaning it up as she does on, say, the model they end up using.
It’s a bit of a breath of fresh air to see a post like this where someone clearly puts the work in to try and solve a given problem with ML and is able to articulate the failure modes of the approach so well.
It’s a bit of a breath of fresh air to see a post like this where someone clearly puts the work in to try and solve a given problem with ML and is able to articulate the failure modes of the approach so well.