Price: $51.99 – $36.85
(as of Dec 29,2024 10:59:26 UTC – Details)

Publisher ‏ : ‎ Packt Publishing (June 30, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 630 pages
ISBN-10 ‏ : ‎ 1801075549
ISBN-13 ‏ : ‎ 978-1801075541
Item Weight ‏ : ‎ 2.38 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 1.3 inches

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

In this post, we will explore the Time Series Analysis with Python Cookbook, which provides a comprehensive guide to working with time series data using Python. The cookbook offers practical recipes for various tasks including exploratory data analysis, data preparation, forecasting, and model evaluation.

Exploratory data analysis is a crucial step in understanding the underlying patterns and trends in time series data. The cookbook provides recipes for visualizing time series data, detecting outliers, and identifying seasonality and trends.

Data preparation is another important aspect of time series analysis. The cookbook offers recipes for handling missing values, transforming variables, and creating lagged features to prepare the data for modeling.

Forecasting is a key goal of time series analysis, and the cookbook provides recipes for building and evaluating forecasting models using popular techniques such as ARIMA, SARIMA, and Prophet.

Model evaluation is essential for assessing the performance of forecasting models. The cookbook offers recipes for evaluating model accuracy, comparing different models, and selecting the best model for a given time series dataset.

Overall, the Time Series Analysis with Python Cookbook is a valuable resource for anyone working with time series data in Python. Whether you are a beginner or an experienced data scientist, the cookbook provides practical recipes to help you effectively analyze and forecast time series data.
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