UOC Data Analytics Machine Learning and Applications of ML in Oil and Gas Industry Project

Topic: Data Analytics, Machine Learning (ML) and Applications of ML in Oil & Gas Industry

Some Knowledge on the topics

1. Prediction (Supervised learning – Classification, Regression algos)

2. Description (unsupervised learning- Clustering algo)

3. Approach (old Approach vs new approach) -> object recognition, summarization and recommendation)

It is a little bit behind before 10yrs, using data analytics, predicting where the oil is and maintenance because the oil and gas is very expensive. Using really good performing models like decision trees and good performing model predicts if they fail or success so on will predict the sales and secure lot of money, because if they crash predict to maintenance would be helpful.

Please write the table of contents for the above topic and share it to me before writing the topic

Your paper should have at least 8 pages at most 15 pages, double space.- Scientific terminology, do not forget you are writing a research paper- Do not copy paste or just write the same things. The goal is for you to read the researchpapers, articles on the topics you chose and write a summary paper with your own words.- You are required to follow APA Guidelines.