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2016-01-12 18:59:42 Post No. 7779060
Post No. 7779060
How does one get a good understanding of preprocessing data before starting to think about neural network architecture, etc?
Is there a checklist or something? I guess there's imputation if needed, converting categorical to numerical, then... I look for correlations (correlation matrix) and maybe for mutual information (to check for non-linear correlations) but what else? I don't know, is there a complete guide for this?
Also, computer science general