Time Series Forecasting in Python
| Price | $59.99
|
| Rating |  |
| Author | Marco Peixeiro |
| Publisher | Manning |
| Published | 2022 |
| Pages | 456 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 161729988X |
| ISBN-13 | 9781617299889 |
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
You can predict the future - with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before.
Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you'll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you'll soon be ready to build your own accurate, insightful forecasts.
- Marco Peixeiro
5 5 27
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