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Book Title: Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R
Book Author: Rami Krispin
Book Format and Price:
Book Format Name: Kindle
Book Format Price: $15.89
Book Format Name: Paperback
Book Format Price: $29.99-$33.29
Book Price: $18.22
Book Category: Kindle Store, Kindle eBooks, Computers & Technology and unknown
Book Rating: 57 ratings
Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R by Rami Krispin Book Review
Name: Eliab Luvanda
Rating: 4.0 out of 5 stars
Title: Good book
Date: Reviewed in the United States on October 10, 2021
Review: Good book. Reader friendly for a novice, brief, and well organized. It is a good introduction to time series analysis and forecasting using R.
Name: Big T
Rating: 3.0 out of 5 stars
Title: Good info, bad quality code
Date: Reviewed in the United States on June 4, 2021
Review: This is a good book, but ther are a number of mistakes that the editor should have caught.For example on page 184, the code should show hour=9 which leads to a different graph.Need better quality checking
Name: Kindle User
Rating: 1.0 out of 5 stars
Title: Hard to Follow
Date: Reviewed in the United States on April 11, 2021
Review: I purchased this text hoping to learn some usefully and statistically relevant stuff. From page to page, the increasing uphill battle became more and more apparent since I was forced into searching for code corrections and updates dealing with applicable software patches. Finishing this book inside the week was quite challenging and hard at the least, nonetheless I suffered to the bitter end. I will make sure not to spend my green bucks on the packt materials. Hard, non-value adding, and time consuming, these are the basic ingredients.
Name: alla
Rating: 5.0 out of 5 stars
Title: This books hold a great deal of practical experience
Date: Reviewed in the United States on July 30, 2019
Review: I've spend a great part of my bachelor's and master's specializing in modeling and predicting time series.
Same with my first years of work experience.
Doing general data science work over the past several years I found my prior TS experience relevant and advantageous.
To a similar extant, I am confident that this book can too provide a significant advantage to any data scientist.
If you read it, experiment with the methods and get an intuition for the models and algorithms, you'll be a force multiplier to your organization.
The book is simple, concise, quickly relates a method to its task, and leaves you with all the tools you need to perform industry grade time series modeling and prediction.
Thanks and good luck,
Lior.
Name: Abhinivesh Devathi
Rating: 5.0 out of 5 stars
Title: Truly Helpful for Time-Series Analysis
Date: Reviewed in the United States on July 30, 2019
Review: This book has been a boon for my work, as I've never been able to understand all the weird quirks in R with time series data. Since I just started working at a financial institution after graduating, time series analysis is really important.
The author took the approach of starting with the basics and building your understanding step-by-step. It was really easy to follow and each step was shown visually. Additionally, the author included their code so that you can take their examples and use it for your own application.
Finally, the author created his own package for Time Series analysis, TSstudio, which worked great and allowed for interactive plots through plotly.
Will definitely keep this book on my desk!
Name: Raquel Dourado
Rating: 5.0 out of 5 stars
Title: Amazing book
Date: Reviewed in the United States on September 13, 2019
Review: This book is very didactic and it has valuable explanations.
Organized andelegant.
A must-read!
Name: N
Rating: 5.0 out of 5 stars
Title: Practical book with down-to-earth examples
Date: Reviewed in the United States on June 20, 2019
Review: I enjoyed reading the book and learned a lot. Very practical with down-to-earth examples.