This post-pandemic Propensity Model determines the probability that a US adult does Fantasy Sports Occasionally. Lift over Random 2.62. 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...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/resnet_v2_50/classification/4). 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...
Model Package - Fulfilled on Amazon SageMaker
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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Lyft. Based on a set of basic demographics, the model identifies individuals who are likely to use the ride share service. The model was trained with data from Prosper's large Media Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_googlenet/). It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
Sentiment Analyzer expresses a positive, negative and neutral sentiment given a text like tweets, messages, emails, blogs, reviews, forum discussions, and social posts. This module uses text analysis, natural language processing, transfer learning and deep learning techniques to predict sentiment...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/1). 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 pre-trained on...
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KanjuTech's Speech Language Detection model ensures secure end-to-end real-time language identification. The model accurately detects language based on 3 words. The whole model processing takes about 400ms on ml.g4dn.xlarge instance. Following AWS's secure policy, only users can access processed...
Model Package - Fulfilled on Amazon SageMaker
Text n-gram analyser finds meaningful and frequent n-grams in the provided text. An n-gram is a contiguous sequence of n terms from a given sample of text. Currently, this module provides bigrams, trigrams and four-grams with their corresponding number of frequent occurrences in the text. These...
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Glaucoma is characterized by dysfunction and loss of retinal ganglion cells (RGCs), with resulting structural changes to the optic nerve head, as well as loss of the visual field. This machine learning models predicts the diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and...
Model Package - Fulfilled on Amazon SageMaker
Increasing credit lines encourages clients to spend more money with their credit card. This model periodically checks the potential to increase the credit line but not to take on risk if the client cannot pay the bill. Line sensitivity model and risk guardrail policy applied to develop model-driven...
Model Package - Fulfilled on Amazon SageMaker
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