sktime/sktime-tutorial-pydata-amsterdam-2020

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

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This tutorial helps data scientists and analysts who are familiar with standard machine learning but new to time series data. It teaches you how to classify different time series machine learning problems and build models to solve them using tools like sktime and scikit-learn. You'll go from raw time-dependent data to trained predictive models.

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Use this if you understand traditional machine learning and want to learn how to apply those concepts to datasets that change over time, like stock prices or sensor readings.

Not ideal if you are looking for advanced time series research or a production-ready solution, as this is an introductory tutorial.

time-series-analysis predictive-modeling data-science machine-learning-introduction

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Jupyter Notebook

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BSD-3-Clause

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