Data Scientists & Modellers
Eliminate manual tasks.
Focus on business problems rather than most time-consuming tasks of feature engineering, model building, tuning parameters etc.
Latest ML models.
State of the Art ML models like Catboost, LightBoost
Automated Feature Engineering.
Explore millions of feature hypothesis. Try the most unclean, messy datasets and see the feature engineering in logs.
For Special Problems.
Special algorithms to predict rare classes and multi-class problems
Implementing best practices from Kaggle
We spend thousands of hours auditing what Kaggle techniques hold up and then we incorporate these techniques
Text Analytics.
Sentiment Analysis, Text Subjectivity, division of the text into topics, clusters
Win rate - 81%.
That’s right, we perform better than Google AutoML, AWS Sagemaker and most other Automl platforms 81% of the times.
Deployment.
Real-time & batch scoring options