oscar-defelice/TimeSeries-lectures
This is a series of notebooks to support lectures on Time series analysis and forecast for a course I held in a master postgraduate program.
These notebooks provide practical guidance for understanding and predicting trends in data collected over time. They take raw time-series data and help you clean, visualize, analyze, and ultimately forecast future values. This resource is ideal for data scientists, analysts, or students looking to master time series analysis and prediction techniques.
No commits in the last 6 months.
Use this if you need to learn how to prepare, analyze, and forecast patterns in data like stock prices, sensor readings, or sales figures.
Not ideal if you are looking for a plug-and-play tool for immediate forecasting without understanding the underlying methods.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Nov 29, 2022
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