Time Series Forecasting in Python

Time Series Forecasting in Python offers a comprehensive guide for data scientists to develop accurate predictive models from time-based data using statistical and deep learning techniques. The book covers creating models that account for seasonality and external variables, automating forecasting processes, and leveraging large datasets with tools like TensorFlow. Through practical examples and Python code, readers learn to make meaningful predictions on real-world datasets, from stock prices to economic data, empowering them to construct insightful and scalable forecasts.