Explanatory Analysis of the XGBoost Model for Budget Deficits of U.S.

The debt ceiling was always an issue in the United States. As of today, the national government debt has reached the debt ceiling, which is $31.4 trillion. The authorities have warned of chaotic consequences if Congress no longer approves the debt ceiling. The U.S. government has managed an annual deficit of approximately $1 billion sinceContinue reading “Explanatory Analysis of the XGBoost Model for Budget Deficits of U.S.”

The Effect of Early Childhood Education on Wealth: Modeling with Bayesian Additive Regression Trees (BART)

Recently, I read a tweet that reports children who grow up in poor conditions earn much less as adults than those with better conditions. I believe one of the best ways to check that is to compare childhood education participation rates with wealth in related countries; to do that, I will use early childhood educationContinue reading “The Effect of Early Childhood Education on Wealth: Modeling with Bayesian Additive Regression Trees (BART)”

Modeling the Extinction of Species with SVM-Kernel

In the last article, we analyzed carbon emissions and the effects that created them. This time I want to look into another important environmental issue, animal biodiversity; by animals, I mean mammals, birds, fish, reptiles, and amphibians. The metric we are going to be interested in is the living planet index which measures the changeContinue reading “Modeling the Extinction of Species with SVM-Kernel”

CO2 Emissions Comparing and Modeling for Global Warming

Recently, I watched the new Predator movie, Pray, and I loved it. Hence, I’ve fallen into the Predators series, especially the first two movies, again. The Predators in the movie would choose warm planets to hunt because their vision capabilities are based on infrared thermal, which allows them to see heat signatures. Carbon dioxide emissionsContinue reading “CO2 Emissions Comparing and Modeling for Global Warming”

Mismanaged Plastic Pollution: Web-Scraping, Tidy Modeling, and Variable Importance

Plastic wastes are one of the most dominant pollution factors in the environment as we live in an era where modern industries exist. The most dangerous part of this kind of pollution is mismanaged plastic waste, which ends up mixing into the ocean in the end. Our World in Data, which we’ll be taking theContinue reading “Mismanaged Plastic Pollution: Web-Scraping, Tidy Modeling, and Variable Importance”