Modern Time Series Forecasting with Python

Table of Contents

Introducing Time Series
Acquiring and Processing Time Series Data
Analyzing and Visualizing Time Series Data
Setting a Strong Baseline Forecast
Time Series Forecasting as Regression
Feature Engineering for Time Series Forecasting
Target Transformations for Time Series Forecasting
Forecasting Time Series with Machine Learning Models
Ensembling and Stacking
Global Forecasting Models
Introduction to Deep Learning
Building Blocks of Deep Learning for Time Series
Common Modeling Patterns for Time Series
Attention and Transformers for Time Series
Strategies for Global Deep Learning Forecasting Models
Specialized Deep Learning Architectures for Forecasting
Probabilistic Forecasting and More
Multi-Step Forecasting
Evaluating Forecast Errors-A Survey of Forecast Metrics
Evaluating Forecasts - Validation Strategies

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