Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection
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WHAT THIS BOOK COVERS
This book organizes time series models and applications into six meticulously crafted parts. Each part equips you with the knowledge and skills to conduct time series forecasting and anomaly detection. The six parts are:
1: From Prophet to NeuralProphet
2: Getting Probabilistic Forecasts
3: Autoregressive-based Time Series Techniques
4: Tree-based Time Series Techniques
5: Deep into Deep learning-based Time Series Techniques
6: Transformer-based Time Series Techniques
