Data science projects can be complex, and the complexity only increases when it comes to operationalizing the results. It is no easy task to maintain and manage a large codebase with millions of lines of code for data science or machine learning projects. No-code/low-code data science solutions, on the other hand, solve this problem by providing a simplified approach to building and deploying data science projects.
No Code/Low Code Solutions Are Democratizing Data Science
No-code data science functionalities are democratizing data science by making it more accessible to non-technical users. By providing a GUI, these platforms make it possible for anyone to build and deploy machine learning models, regardless of their coding skills. These solutions simplify the process and allow users to generate workflows and models using natural language descriptions.