mloning/intro-to-ml-with-time-series-workshop-2023

Introduction to Machine Learning with Time Series workshop

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This project helps data analysts and researchers understand and predict patterns in data that changes over time, like stock prices or sensor readings. It guides you through the process of taking raw time-series data and building machine learning models to make forecasts or classify events. Anyone familiar with basic machine learning concepts who wants to apply them to time-series data will find this useful.

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Use this if you need to learn the fundamentals of applying machine learning techniques to data that evolves sequentially over time, like sales figures or weather patterns.

Not ideal if you are looking for advanced time-series forecasting methods or are unfamiliar with the basics of machine learning.

data-analysis forecasting pattern-recognition sequential-data predictive-modeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 10 / 25

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14

Forks

2

Language

Jupyter Notebook

License

BSD-3-Clause

Last pushed

Nov 03, 2023

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