This solution provides an optimized solution for Airline crew pairing considering minimization of number of deadheads. Pairing is a schedule for an aircraft consisting of different flight legs while each leg consists of detail of upcoming journey, such that arrival and destination airport, flight...
Algorithm - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_wide_resnet/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different...
Model Package - Fulfilled on Amazon SageMaker
Surface defects in sheet steel poses quality and performance risks. Classifying various defects allows to quickly identify and remove the causes of their occurrence. This Transfer Learning-based solution identifies three classes of surface defects: holes, peels, and others (cracks, scratches,...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult has Restless Leg. Lift over Random 1.40. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is...
Model Package - Fulfilled on Amazon SageMaker
Improve home loan conversions via direct mail channels, including purchase and refinance transactions and conversion likelihood at 5 different stages of cross-sell lifecycle. Those stages include response to solicitation, authorization of credit pull, application submission, submission of all...
Model Package - Fulfilled on Amazon SageMaker
Save customers money with a personalized and accurate phone rate plan based on previous usage data. After a predefined trial period, the Initial Rate Plan Assignment model uses subscriber data to recommend the rate plan likely to serve the customer best during a predetermined timeframe. One month's...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_densenet/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes....
Model Package - Fulfilled on Amazon SageMaker
Very specific marketing is needed to attract potential clients to book a cruise. This propensity model identifies past guests/prospects who are more likely to book a cruise after receiving an email campaign. This model leverages advanced, high-precision targeting for customer acquisition and can be...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult watches Satellite TV the Most. Lift over Random 1.32. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
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