RapidML

RapidML does a lot of the heavy lifting in machine learning for you. 1. Unlike other machine learning libraries which require X,y arrays for training data and target, RapidML can take data frame inputs which results in fewer hassles for the programmer. 2. Furthermore, RapidML auto-encodes your data because many ML algorithms require numerical data. (So textual categorical data will like genders: “male”/“female” will fail while numerical values: 0/1 will work). 3. Where RapidML truly shines is that it automatically selects the best machine learning algorithm and performs hyperparameter optimization based on your data. 4. Furthermore, it saves the machine learning model, a Flask API and a bunch of helper files to a directory of your choice. Now all you have to do is to upload this directory to a WSGI server and you have a functioning machine learning API!