Skip to content

mloning/intro-to-sktime-berlin-tsa-meetup-2020

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Introduction to sktime: A Unified Framework for Machine Learning with Time Series

GitHub: https://github.com/alan-turing-institute/sktime

Meetup: https://www.meetup.com/Berlin-Time-Series-Analysis-Meetup/events/272511874/

Abstract

We present sktime, a new unified toolbox for machine learning with time series in Python. We provide state-of-the-art time series algorithms and scikit-learn compatible tools for model composition. The goal of sktime is to make the time series analysis ecosystem more usable and interoperable. In this talk, you'll learn about different time series learning tasks, how algorithms for one task can be used to help solve another one, sktime's key design ideas and our plans for the future.

About

Introduction to sktime: A Unified Framework for Machine Learning with Time Series

Topics

Resources

Stars

Watchers

Forks