Machine Learning for Time Series with Python: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods
By Ben Auffarth
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By Ben Auffarth
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Get better insights from time-series data and become proficient in building models with real-world data
- Explore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.
- Improve predictive modeling with feature engineering and forecasting machine learning techniques.
- Apply demand forecasting and financial forecasting methods through practical case studies and real-world datasets.






















