A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...
For example, it's better to normalize data before encoding because encoding generates many additional numeric columns which makes it a bit more complicated to normalize the original numeric data.
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