Success depends upon previous preparation, and without such preparation there is sure to be failure.
—Confucius
Machine learning revolves around training of algorithms to perform a variety of computationally intensive tasks. Training of algorithms takes place through feeding models data, thus making the most crucial step in any data or machine learning project cleaning and preparation. It cannot be stressed enough: bad data creates bad results even when fed to the world’s most sophisticated machine learning models.
All of this is for good reason. Whether it’s directions to a restaurant, ...
