Here are the steps involved in AI model development:
Data collection – Getting data from a reliable source.
Data preparation – Evenly distribute the data, randomize it, and create a training data set and a testing data set.
Model selection based on your requirements.
Model training – Pass the data to your model.
Model evaluation – Testing the performance on previously unseen data.
Tuning the parameters to improve accuracy.