Building a machine learning model
Building a deep learning model is similar to building any other machine learning model. It involves some high level steps that need to be taken in order to design and validate the model. The main steps in building a general machine learning model include:
- Splitting the data into train and test data
- Train a machine learning model
- Evaluate the model on the test data
In addition to the above steps, there are some specific steps that need to be taken to build a machine learning model in Python including importing the required Python libraries, and importing and cleaning your data. In the next section, we will walk through a simple machine learning problem and how we can approach it using above steps in Python.
Setting up the environment