Machine Learning

Data Preprocessing

• To isolate training and validation of data, discard missing or unknown values, and perform text extraction and binding.

Feature Engineering

• Derive optimal features to transform numeric and categorical statistical values depending on the algorithm in use.

Library of Algorithms

• Curate and continuously update machine learning algorithms library to enable the expectations of meeting business processes and integrate cutting edge automated methods.

Algorithm Selection

• Comparative analysis of several algorithms with recommendation insights to identify the best ones for this modeling scenario.

Training and Tuning

• Train & retrain models continuously to reach their optimum efficiencies.

Deployment

• Easy deployment process while integrating models into the business processes for both online and offline systems.