Data science and machine learning are fast-paced emerging technologies across all industries including oil and gas. The oil and gas industry has taken big steps to adopt these technologies to make its exploration and production operations more efficient. This course is tailored for oil and gas industry professionals who are interested to implement data analysis and machine learning in their project development and operations.
About this project
Applied Data Science in the Oil and Gas Industry 1- What's this about? Data science and machine learning are fast-paced emerging technologies across all industries including oil and gas. The oil and gas industry has taken big steps to adopt these technologies to make its exploration and production operations more efficient. In these tutorials, I will share with you a comprehensive set of notebooks from the absolute introduction to python programming, all the way to reliable implementations of machine learning on real-world data. Along the process, we will go through all the necessary steps for a successful data science project as we'll explore both theoretical and practical concepts related to data processing, statistical investigation, effective data visualization, and machine learning concepts, to the final implementation of a set of intelligent algorithms. 2- What's the content of this course? We'll be following the agenda listed below, hopefully in a concise weelly manner. [x] 01 Where Data Science and Petroleum Engineering meet [x] 02 Python primer [x] 03 Dealing with data (Your 80% work) [x] 04 Data through a statistician eyes [x] 05 Data visualization story telling
From the project README on
GitHub
- Stars
- 48
- Forks
- 15
- License
- MIT
- Last push
- 28 Jan 2023
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