This project is about energy efficiency and renewable energy topic. Developed multivariate time series model to forecast global warming. Analyzed various causes of global warming including energy consumption, emissions; examined correlation and causality of temperature, CO2 concentration, population time series. Discovered the logical connections, contributory factors, etc.

Project using linear regression and data science to predict and analysis of global warming using co2 emission over years

In recent year, there are increasing concerns over the greenhouse gases in that many environmental issues are associated with the emission of the greenhouse gases. Methane (CH4) and carbon dioxide (CO2) are two major greenhouse gases. Many techniques have been applied to mitigate these greenhouse gases in the environment, among which the dry reforming of methane [1] is particularly used for the production of syngas, an intermediate for producing fuels. 〖CH〗_4 + 〖CO〗_2 ⇌ 2H_2 + 2CO This method provides a possible solution for both global warming and energy shortages. Therefore, many studies have focused on the evaluation of the catalysts in order to promote this reaction as much as possible. This project aims to predict and optimise the catalytic dry reforming of methane using artificial neural network (ANN) algorithms. Based on the experimental data from previous studies, an ANN model will be constructed and developed to investigate the efficiency of different catalyst compositions, which will assist in analysing experimental data and reduce experimental costs in further studies. This report intends to give a general introduction of this project, and the objectives and expected contributions of the project will be introduced in the following parts. A preliminary introduction to the artificial neural network (ANN) algorithm used in the experiment will also be given in this report.

This repository contains global CO2 emissions analysis using Tableau.

Repository for global climate change and CO2 emissions analysis project.

CO2 emissions for 343 cities as part of the Global Carbon Project.

Tableau project featuring global CO2 emissions by country income group. Dashboard can be filtered by income group and amount of carbon emissions.

This Power BI project provides an in-depth visual exploration of the relationship between global country's GDP and its CO2 emissions.

A machine learning project in R to understand the impact of various predictors like human population, CO2 emissions, Human population, and GDP on global temperatures

This project showcases models and analysis of global CO2 emissions data from 1981-2020. I developed regression, clustering and classification models with this data set, as well as some interactive visualizations.

A project for analyzing global CO2 emissions

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Tableau Viz for Co2 Emissions

Global CO2 Emissions & Policy Implications

InfoVis project about CO2 emissions and Global Warming relation

Project1 Title: “Exploratory Data Analysis of Global CO₂ Emissions and Energy Consumption Trends (1990–2023)” Objective: To explore how global CO₂ emissions and energy consumption patterns have evolved over the past three decades, identifying the major contributing countries, industries, and correlations between energy use and emissions.

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Analyze global sustainability, socio-economic metrics, and CO₂ emissions to identify trends, top performers, and areas needing improvement.

This project analyzes global CO2 emissions and how it relates to global temperatures.

The dataset for Global CO2 Emissions project with some basic visualizations

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INF601 Mini Project 2 - Global CO2 Emissions Analysis using Pandas and Matplotlib

EDA project using the Global Co2 emission data from https://ourworldindata.org/co2-and-greenhouse-gas-emissions using Julia

This project analyzes global CO2 emissions and also examines the correlation between US oil production and CO2.

Machine learning project designed to show the correlation between global co2 emissions and temperature changes

Tableau project analyzing Global CO2 emissions (1730-2021) and identifying the top 10 emitting countries in 2021

Global-CO2-Emissions-Analysis and Fertility rates: A project analyzing and visualizing global CO2 emissions per capita, and the relation between fertility rate and GDP per capita including data cleaning, adjustments, and generating insightful maps and histograms.

In this project, I utilized Spark to perform analysis of the relationship between CO2 emissions and Global temperatures.