What is No-code Machine Learning?
No-code Machine Learning is a machine learning approach through which the user without having any coding experience can build the machine learning models with different parameters and deploy the model. The idea behind No Code ML is to simplify the process of creating different models with different parameters and using machine learning models, making them accessible to individuals who may not have a strong programming or data science background. In a No Code Machine Learning environment, users typically interact with a graphical user interface (GUI) that provides a visual representation of the machine learning workflow and users are training the model which are preparing. Users can drag and drop components, configure settings, and make selections without having to write code. These platforms contain user-friendly interfaces and the platform provides the train model for the quick training, building, and deployment of models.
What is No-Code Machine Learning?
As we know Machine learning is a field in which the data are provided according to the use case of the feature engineering then model selection, model training, and model deployment are done with programming languages like Python and R. For developing the model the person or developer must have the data science domain for implementation. to overcome this problem of knowing the domain users are No-code Machine Learning is a machine learning approach that implements user ideas for building the model who don’t have any knowledge of coding to build, train, and deploy different machine learning models. No Code ML platforms feature intuitive graphical user interfaces that allow users to interact with the tools without coding skills.
In this article, we will explore No-Code Machine Learning , Features of no-code machine learning , Difference between traditional and no-code machine learning , Use of No-code ML across industries.
Contact Us