Building a Machine Learning Model: Collecting Data

Data is the main ingredient of Machine Learning models.

An actual Machine Learning project starts with the team assessing if the necessary data is available. If not (which would be no surprise), the team needs to develop a strategy to collect and store the necessary data before modeling Machine Learning Algorithms.

Common sources of data … Continue reading Building a Machine Learning Model: Collecting Data →