Data training and testing
In this section, we're going to learn how to create models for training and testing data using Python tools and libraries. When working with data and data science, we sometimes want to train the algorithm to continue gathering and learning from the data. Data training is then used for data mining and machine learning. First, let's define the training dataset:
- It is a sample of data used to fit the model.
- It is an actual dataset that is used to train the model (weights and biases, in the case of a neural network). The training model sees and learns from this data.
In computing, a neural network is a system of computing that is created using biological neural networks in human and animal brains as inspiration. When using training datasets, such as when we are creating machine learning models, the models depend heavily on the data. But what is machine learning? Machine learning, or ML, is an application of artificial intelligence...
