Easy ML

Easy ML assists in end-to-end model creation through a guided multistep process with minimal user input.

You are required to supply the dataset and give general guidelines through the steps. Each step provides suggestions based on the uploaded dataset analysis. All data-science-related actions are then happening automatically behind the scenes in line with an integral pre-defined logic. This includes:

• Data preprocessing such as handling missing values with appropriate methods, ignoring features with high cardinality, and categorical features encoding
• Label suggestion
• Feature importance graph
• Incorporated Bayesian algorithm hyperparameter optimization
• Best model suggestion

After the experiment is complete, there is an option to generate a standard machine learning quest from it. The generated quest contains all the behind-the-scenes actions from the experiment, representing them as respective quest activities. You can perform more advanced manual modeling and eventually, deploy the model for consumption.