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Which of the following steps are part of end-to-end ML (check all that applies)?    Data Exploration...

Which of the following steps are part of end-to-end ML (check all that applies)?   

Data Exploration

Data Cleaning

Data Processing

Data Validation

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Answer #1

All choices(1)(2)(3)(4) are correct, ie., Data exploration, data cleaning, data processing, data validation.

As the data is collected and explored so that the data is limited and organised that can be used to train the system, cleaning is to make sure no unneceesary or irrelevant data set passes into actual training dataset, data processing such as clustering etc is the step before when training model is imposed over those data, and data validation which can be implied using cross validation which restricts and gains knowledge on the particular set of dataset.

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