Steps for creating a Machine Learning algorithm | Machine Learning Modelling

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.