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Structured Data

Imbalanced classification: credit card fraud detection
basic

Demonstration of how to handle highly imbalanced classification problems.

See code
Structured data classification with FeatureSpace
basic

Classify tabular data in a few lines of code.

See code

Text

Text classification from scratch
basic

Text sentiment classification starting from raw text files.

See code

Timeseries

Timeseries classification from scratch
basic

Training a timeseries classifier from scratch on the FordA dataset from the UCR/UEA archive.

See code

Vision

Convolutional autoencoder for image denoising
basic

How to train a deep convolutional autoencoder for image denoising.

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Simple MNIST convnet
basic

A simple convnet that achieves ~99% test accuracy on MNIST.

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Image segmentation with a U-Net-like architecture
intermediate

Image segmentation model trained from scratch on the Oxford Pets dataset.

See code