---
product_id: 251357166
title: "Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications"
brand: "hoss belyadialireza haghighat"
price: "€ 229.24"
currency: EUR
in_stock: true
reviews_count: 1
url: https://www.desertcart.be/products/251357166-machine-learning-guide-for-oil-and-gas-using-python-step
store_origin: BE
region: Belgium
---

# Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

**Brand:** hoss belyadialireza haghighat
**Price:** € 229.24
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications by hoss belyadialireza haghighat
- **How much does it cost?** € 229.24 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/251357166-machine-learning-guide-for-oil-and-gas-using-python-step)

## Best For

- hoss belyadialireza haghighat enthusiasts

## Why This Product

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## Description

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

## Images

![Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications - Image 1](https://m.media-amazon.com/images/I/61VzWJ+009L.jpg)
![Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications - Image 2](https://m.media-amazon.com/images/I/81+gD4GYcUL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ This book worth every single cent
*by J***O on June 20, 2021*

The media could not be loaded. I'm a 10y Petroleum Engineer and has been studying Data Science for the last 3y. My main goal was to connect both areas but it was always a challenge. This book just changed the game, literally. If you are like me, someone that already have experience in Oil & Gas and is moving yourself into Data Science you maybe will agree that the worse part of this path is to realize where and how exactly you will use Machine Learning it Oil Industry. To realize the potential and the possibilities take times because every single course in any place you going to learn Data Science is not using Oil & Gas data, it is always about Financial, health, marketing, HR, and other so common topics where ML and AI has been applied. What Hoss and Alireza has created with this book is a unique master peace for you to fill home, use the data that you already know and apply DS, ML, AI using those data and see the magic of both area cross it other. I can't explain to you how excited I'm and how incredible has been this experience.I also want to add something you need to know. Right now, when I'm writing this review, I'm working in a personal project, something similar that was presented on Chapter 5 in the book but in a large scale. I got stuck searching to the original source of the data in order to get more data from other open source information for different wells. Because I was stuck I decided to text Mr. Hoss and he was so kind and so helpful to point me the right directions. This, for me, has no price and I really with like to thank you Mr Hoss and Alireza for this amazing contribution.The knowledge you both concatenated in this book has been my real guide for a new level on my journey to use ML and AI into Oil & Gas industry. Thank you.PS.: If you all look in the pictures you will see I actually bought both, the digital and paper version of it and I have no regrets, it worth every single dollar I paid for it.Enjoy your reading time.

## Frequently Bought Together

- Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications
- Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

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*Product available on Desertcart Belgium*
*Store origin: BE*
*Last updated: 2026-05-21*