Mastering time series analysis and forecasting with python : bridging theory and practice through insights, techniques, and tools for effective time series analysis in python / Sulekha Aloorravi.

Format:

Book

Author/Creator:

Aloorravi, Sulekha, author.

Language:

English

Subjects (All):

Time-series analysis.

Physical Description:

1 online resource (131 pages)

Edition:

First edition, English edition.

Place of Publication:

Delhi, India : Orange Education Pvt Ltd, [2024]

Summary:

"Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including machine learning and deep learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains. Readers develop expertise in crafting precise predictive models and addressing real-world complexities. Complete with illustrative examples, code snippets, and hands-on exercises, this manual empowers readers to excel, make informed decisions, and derive optimal value from time series data.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9788196815103

8196815107

OCLC:

1428262117