Remember to find alternatives that best suit your data and your project and model.
It is widely known that machine learning is as good as the data that we input in it. We often use an extremely large dataset to teach the machine learning model to differentiate between the identified datapoints. That is called training data.
Before we go through training data, it is worth mentioning that in machine learning, there are three types of machine learning datasets: training, test, and validation.
If further classified, there are 2 different types of training data: Labeled data and unlabelled data.
Is used for supervised machine learning models. The data is tagged, labeled, or annotated by humans according to the defined criteria so that the particular machine learning model can produce the desired output.
Labeled data also can even have more than one label depending on the s