Training a model in fastai with a curated tabular dataset

In Chapter 2, Exploring and Cleaning Up Data with fastai, you learned how to ingest and examine the ADULT_SAMPLE curated tabular dataset. In this recipe, we will go through the process of training a deep learning model on this dataset using fastai. This will give you an overview of the happy path to creating a tabular deep learning model with fastai. The goal of this recipe is to use this dataset to train a deep learning model with fastai, which predicts whether the person described in a particular record will have a salary above or below 50k.

Getting ready

Confirm that you can open the training_with_tabular_datasets.ipynb notebook in the ch3 directory of your repository.

I am grateful for the opportunity to include the ADULT_SAMPLE dataset featured in this section.

Dataset citation

Ron Kohavi. (1996) Scaling Up the Accuracy of Naive-Bayes Classifers: a Decision-Tree Hybrid (http://robotics.stanford.edu/~ronnyk...