trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
This project helps you prepare time series data to make better predictions for future events. It takes raw time series data, like sales figures or sensor readings over time, and transforms it into a format that machine learning models can understand to generate more accurate forecasts. Anyone who needs to predict future values from historical time-based data, such as a business analyst forecasting demand or an operations manager predicting equipment failures, would find this useful.
200 stars. No commits in the last 6 months.
Use this if you need to create robust predictive models for time series data by building effective features from trends, seasonality, lags, and other time-based attributes.
Not ideal if you are looking for an out-of-the-box forecasting solution without needing to understand or engineer features from your data.
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Dec 06, 2023
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