The best Low-Code Machine Learning Libraries in Python
Discover Machine learning through Low-code ML libraries — Less barrier.
Machine learning(ML) is hard to learn; especially it’s algorithms, data preprocessing and training models.
It is not the case anymore!
With the rise and availability of both no-code and low-code machine learning libraries and platforms, there are fewer barriers to use and apply machine learning models on your applications.
Low-code/No-code platforms and libraries enable users to run machine learning models easily by providing a ready-to-use code and functions. You can access these functions either through a web interface or writing minimal code.
While no-code platforms are the easiest way to train a Machine Learning model through drag and drop interface, they lack flexibility.
On the other hand, the low-code ML is the sweet spot and middle ground. They offer both flexibility and easy to use code. You still have to write some code, but that is bare minimum compared to other typical machine learning libraries.
In this article, I will highlight some of the best low-code ML libraries in Python, their functionalities and how you can get started. In the final section of the article, I…
