World Energy
Project Overview
It is known that the Earth’s resources are limited and through machine learning I will demonstrate what our energy sources will look like in the near future. There are several energy sources and will be concentrating on the top 2 energy sources, Oil and Natural Gas, looking at the production and consumption of these sources.
The premise is to predict the consumption and production of both sources in the next 5 years. Data cleaning will be provided through Python Pandas to export, transform and load (ETL) our new clean csv files. This will allow me to make data driven decisions to investigate the premise of the project.
A generation with a prediction model for Oil and Natural Gas energy production and consumption with Scikit-Learn (Machine Learning). I will train and test the prediction model based on historical data to gauge accuracy for future predictions. Tableau will be used to generate the visualizations to illustrate the narrative of the energy sources. To showcase the data analysis I will build a webpage using HTML, CSS, and Bootstrap to present all of the findings.
Dashboards
