Subject
3 entries
Forecasting
Bookmarks
sktime — Unified Machine Learning with Time Series
sktime is a Python library providing a unified scikit-learn-compatible interface for time series machine learning — forecasting, classification, regression, clustering, and anomaly detection. Solves the ecosystem fragmentation problem for temporal data.
Surfing Silver: Dynamic Bayesian Forecasting for Fun and Profit
Slides from a Data Popup talk on dynamic Bayesian forecasting — applying Bayesian state-space models to time series prediction with uncertainty quantification. One of the cleaner practitioner introductions to Bayesian time series methods from the mid-2010s data science speaker circuit.
Weather Forecasting with Twitter and Pandas
ŷhat blog post using Twitter emoticon sentiment as a proxy signal for weather prediction, analyzed with pandas. An early example of using social media signals for real-world forecasting — creative but ultimately a data exploration exercise.