Name: Mastering Time Series Analysis and Forecasting with Python
Price: 42.80 EUR
Availability: InStock
Author: Aloorravi, Sulekha
ISBN: 9788196815103

portada Mastering Time Series Analysis and Forecasting with Python

Mastering Time Series Analysis and Forecasting with Python

Type

Physical Book

Author

Sulekha Aloorravi

Publisher

Orange Education Pvt Ltd

Language

English

Pages

322

Format

Paperback

Dimensions

23.5 x 19.1 x 1.7 cm

Weight

0.55 kg.

ISBN13

9788196815103

Synopsis "Mastering Time Series Analysis and Forecasting with Python"

Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate.Book Description"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.Table of Contents1. Introduction to Time Series2. Overview of Time Series Libraries in Python3. Visualization of Time Series Data4. Exploratory Analysis of Time Series Data5. Feature Engineering on Time Series6. Time Series Forecasting - ML Approach Part 17. Time Series Forecasting - ML Approach Part 28. Time Series Forecasting - DL Approach9. Multivariate Time Series, Metrics, and Validation Index

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

Mastering Time Series Analysis and Forecasting with Python - Aloorravi, Sulekha

Synopsis "Mastering Time Series Analysis and Forecasting with Python"

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery