Creating a Machine Learning model follows the below steps:

  • Identify the problem for which ML algorithm is to be created
  • Create data sets which are inputs to the algorithm. 
  • Sanitize the data if any changes are required
  • Data can be called a training data if the data has labels which are fed to the algorithm. Also, some data sets can be used for validating the models
  • Build the Machine Learning models
  • Built Machine Learning models are validated/evaluated using validation data
  • Deploy the models and use them for Machine Learning activities in the product
Below is a video which talks about the above steps.