Preprocessing of data in ML models

Hi, I am a beginner in ML. I need suggestions on effective data preprocessing and, if possible, where to learn them for a proper application in models.

It depends on what sort of data you have, and what sort of model you’re trying to create.

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can we use neural networks here instead of doing feature engineering manually?

That is one of the benefits of a neural network.

What are the ways in which we can improve R2 score? In one model I am just achieving around 70% variance. I tried implementing dropout, batch norm,earlystopping.