This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract features from images. It also contains shows how the extracted features can be used to visualize an image dataset with t-SNE.

This is a companion discussion topic for the original entry at https://kni.me/w/OQCpDgvPBp0hoFBK

Dear KNIME Team ,
Is Deep Learning with XGBoost algorithm suiatable for classifying financial time series data?
Thank you.