How to handle inconsistent and noisy data?

To rectify this, you need to clean the data. You can do:

Handle missing values i.e. null/nan values either by dropping or replacing their values with central tendency measures.
Handle duplicate values by dropping them.
Handle inconsistent data types i.e. converting the features to their correct types.
Handle outliers, either by dropping them or performing some transformations on the data.

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