This application is designed for novice data analysts who do not have extensive knowledge of data science and machine learning model development. It is designed to guide you through the process of data analysis and finally create an ML model for the desired use case.

What is transfer learning?

Transfer Learning is a process where you can use already trained ML models to solve your desired use case. The big advantage of this method is that you do not need a large amount of data to train such a model. We know that model development is not only computationally intensive but also requires a large amount of data to train. Even large companies complain that they do not have enough data to train their models from scratch Transfer learning can be used in two different ways: a) we take an already trained model and apply it to our problem without training it, or b) we take a pre-trained model and fit it to our data. Our TL wizard uses the second option, making the trained model tailor-made for your desired problem.