Data preparation is outlined as a gathering, combining, cleaning, and converting raw data to make accurate forecasts in Machine learning systems.
Data preparation is also comprehended as data” pre-processing,”” data wrangling,”” data cleaning,”” data pre-processing,” and” point engineering.” It’s the after stage of the machine learning lifecycle, which comes after data collection.
Read out complete at - https://medium.com/@futureanal....ytica/whats-data-pre
Like
Comment
Share
