FastAI is an incredibly convenient and powerful machine learning library bringing Deep Learning (DL) to the masses. I was motivated to write this article while troubleshooting some issues related to training a model for a binary classification task. My objective is to walk you through the steps required to a build a simple and effective DL model using FastAI for a tabular, imbalanced dataset while avoiding the mistakes that I had made. The discussion in this article is organized according to the sections listed below.

1. Dataset
2. Sample Code
3. Code Breakdown
4. Comparison Of FastAI to PySpark ML & Scikit-Learn
5. Conclusion

#fastai #cross-entropy #imbalanced-data #tabular-data #deep-learning