Modeling Techniques In Predictive Analytics With Python And R: A Guide To Data Science Paperback – April 11, 2018

Easy to understand and useful

It's well written and covers the topic thoroughly.

All data and programs (both Python and R) are available at the publishers websitehttp://www.ftpress.com/promotions/modeling-techniques-in-predictive-analytics-with-python-140386Programs include extensive comments, as well as suggestions for students.

The book barely covers some of the most important elements of economic analytics then races off to cover some other aspect that the Professor who wrote this finds interesting. They cover important things like economic indicators... but completely fail to talk about them in detail, the ICS, INHS, and two other very powerful indicators are treated with the respect of a slice of pizza.This book isn't for studying, it's for satisfying some ignorant professors' requirement that you buy a book for them to ask irrelevant questions on a test or cherry-pick some random study to be referenced in class.I'm returning the book as it's written with such a callous disregard for academic rigor and has no real-world value, other than firestarter. I wish I never had to spend my time to buy it, waste amazons employee time to package it and gas to deliver such a flaming piece of trash that jumps on the "me too" bandwagon of "write a book about analytics" It like he book was written to make you less intelligent by ignoring the subject matter details they say they will cover and instead the author thinks his view on everything is more important that details of the subject his is covering.

I had to read this for a class and in the end skipped several chapters because it didn't have that much value. It also includes a bunch of code with no connection between what you read and the code. I mean it is related, but it isn't like it walks you through the code. I don't know anyone who would read pages of code in a book (compared to downloading and running code, but then how do you charge for it). So overall not very useful and a waste of money for me.

I had high hopes for the book, but it didn't enrich me in any way. The book has been outdated and outsmarted by better books in the market, and at much reasonable prices.Also, its misleading in many ways . The book says `Python Edition` - and then the author uses Python wrapper scripts to call R. That's not what I thought it would mean by `Python edition`. I regret this purchase.

Code is old and useless. Explanations are lacking and there is far too much fluff to make this book worth the price.