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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Automatic Date & Time Features

By: improve.ai Latest Version: 1.0

Product Overview

A timestamp string, such as "2018-10-23T21:56:31.859361", is not very useful for machine learning algorithms. This package extracts various useful numeric features such as day of year, time of day, day of week, etc to allow ML algorithms to discover seasonal and periodic trends.

Key Data

Version
By improve.ai
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Automatic Date & Time Features

E-mail support@improve.ai for support our feature requests

https://github.com/improveai/examples/tree/master/date_features

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No refunds. Billing is based on usage.

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