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A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

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There are other visualization techniques that maintains distance between data points like t-SNE, what makes this particular for feature engineering compared to PCA or Auto-Encoders? - https://www.kaggle.com/frankmollard/pca-t-sne-umap-trimap-pacmap - https://towardsdatascience.com/why-you-should-not-rely-on-t-sne-umap-or-trimap-f8f5dc333e59 -...