Notes for CS 229 Students

#1
by louiecerv - opened

This is an example of an app that can really benefit from using the Huggingface dataset. The actual dataset is just over 3 mb. If you load the csv file in the Huggingface space without first creating a Dataset, the performance is really poor compared to when it is first uploaded as a dataset then the App uses the huggingface hub code to access the dataset.

Examine the code also note the sequence of pre-processing tasks and the various commands to visualize the dataset.

The scikit-learn implementation of the MLP is much slower than the other ML models.

You can further explore ways to customize the MLP model to increase its performance.

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