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Feature Engineering (17 results) showing 11 - 17



Customer Genomics is our inhouse built platform for powering customer decisioning with intelligence @speed and scale. It executes next best experience recommendations at every stage of a customer’s relationship journey with client businesses.Over the last 6-7 years we have solved personalization...


Missing Data Imputation is a robust neural network based solution. This solution fills in missing values for numerical attributes by identifying data patterns in the input dataset. It helps reduce the data quality issues due to incomplete/non-available data.

Model Package - Fulfilled on Amazon SageMaker


PROJECT BACKGROUND Machine learning plays an increasingly important role in unlocking the ability to extract actionable insights from complex datasets across a broad range of fields. The collection of ever-increasing amounts of data brings new challenges in data management, preparation, model...


The solution will provide machine learning related feature engineering as output for the user provided data. The feature engineering operations to execute on the data can be specified by user in a separate config file. This will simplify the task of feature engineering for a data scientist where in...

Model Package - Fulfilled on Amazon SageMaker


Discover the power of SpeedWise® Reservoir Opportunity (SRO), an AI-powered, cloud-native platform that is revolutionizing complex geological and engineering workflows. Through advanced computational algorithms and data mining techniques, SRO can automatically create a ranked list of field...


Automated Feature Extraction (AFE) enables the creation of automated and supervised extraction of an optimal set of predictive features from transactional datasets without human effort. It helps to transform temporal and relational datasets into feature matrices for modeling. The user just needs to...

Linux/Unix, Amazon Linux 5.10 - 64-bit Amazon Machine Image (AMI)