sktime/sktime-tutorial-pydata-global-2021
Introduction to sktime at the PyData Global 2021
This helps data scientists and machine learning engineers analyze and predict patterns in time series data. It takes in raw time series datasets and outputs trained models for tasks like classification, forecasting, or transformation. You would use this if you're building machine learning solutions for data that changes over time, like stock prices, sensor readings, or website traffic.
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Use this if you are a data scientist or machine learning engineer working with time series data and need a unified framework to combine, evaluate, and tune various algorithms for tasks like forecasting or classification.
Not ideal if you are looking for a simple, out-of-the-box solution for non-temporal data or if you prefer to use only a single, specialized time series library without integration capabilities.
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Jul 13, 2022
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