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Time-series Forecasting (13 results) showing 1 - 10



Bitcoin predictor model can help to predict the bitcoin prices based on the time series data. The model is trained with 4 years of data to identify patterns and trends. Tensorflow’s LSTM deep learning model has been used to create the model.

Model Package - Fulfilled on Amazon SageMaker


Seeq is an advanced analytics solution for process manufacturers that enables organizations to rapidly investigate and share insights from data in Amazon Web Services, as well as contextual data in manufacturing and business systems. Seeq's extensive support for time series data and its inherent...

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Starting from $0.02/hr or from $220.00/yr (up to 25% savings) for software + AWS usage fees

The Hello Forex application provides a browser-based interface to explore and download over 105 million currency conversion data points for 18 different currency pairs: AUDJPY, AUDUSD, CHFJPY, EURCAD, EURCHF, EURGBP, EURJPY, EURUSD, GBPCHF, GBPJPY, GBPUSD, NZDJPY, NZDUSD, USDCAD, USDCHF, USDJPY,...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)


Vanillatech Labs is a neuro-bio inspired generic deep learning algorithm that works as simple as an intelligence test. It automatically detects patterns in time series and allows you to make predictions. While other ML approaches become more and more complex we wanted to build a model that is...


Univariate time series are datasets comprised of a single series of observations with a sequential ordering and a model is required to learn from the series of past observations to predict the next value in the sequence. This algorithm aims to do the same using one dimensional convolutional neural...

Algorithm - Fulfilled on Amazon SageMaker


Sales forecasting is an important tool for any growing business especially to determine future revenue and planning for any demand and will help make many important business decisions. Accurate sales forecasting can help you track data to gain insight into areas where improvements can be made. Such...

Model Package - Fulfilled on Amazon SageMaker

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  • Version 0.1
  • Sold by Peak

Forecasting demand accurately is key to running an efficient supply chain, keeping inventories stocked to the ideal levels and fulfilling your customer orders. Analytics-based demand forecasting is more accurate than other approaches, allowing you to minimise money tied up in stock, avoid shortages...

Algorithm - Fulfilled on Amazon SageMaker


Predicting future volume of incident tickets is a critical task in managing the operations of a service in order to keep the operations within the permissible boundaries of SLA (Service Level Agreement).Incident Service Ticket Volume Predictor helps an organization by predicting future volumes of ...

Model Package - Fulfilled on Amazon SageMaker

Free Trial

  • Version 0.1
  • Sold by Peak

Forecasting demand accurately is key to running an efficient supply chain, keeping inventories stocked to the ideal levels and fulfilling your customer orders. Analytics-based demand forecasting is more accurate than other approaches, allowing you to minimise money tied up in stock, avoid shortages...

Algorithm - Fulfilled on Amazon SageMaker

Free Trial

  • Version 0.1
  • Sold by Peak

The algorithm creates a model that will classify a time series into its type of demand intermittency*. *Using Syntetos, Boylan and Croston demand categories.

Algorithm - Fulfilled on Amazon SageMaker