The war between Russia and Ukraine has affected the global food supply other than many vital things. Primarily cereal crop products have been affected the most because the imports have been provided to the world mainly through Ukraine and Russia. Let’s check the situation we’ve mentioned for G20 countries. We will get a look atContinue reading “Food Crisis Analysis and, Forecasting with Neural Network Autoregression”
Category Archives: Uncategorized
Modeling with Interaction Terms, and Waffle Chart for Comparing: Immigration Flow to the West
There has been a massive debate about the refugee crisis in Turkey for a long time. Turkish people blame immigrants (mostly from Syria) for the worsening economy, and they believe that the immigrants are in wealthy conditions while they themselves suffer from bad economic conditions. I want to check the accuracy of these claims. First,Continue reading “Modeling with Interaction Terms, and Waffle Chart for Comparing: Immigration Flow to the West”
Military Expenditure Estimation with RJAGS Simulation
The side effect of the ongoing Russian occupation was that it stimulated countries’ intentions to increase their military budgets. Last month following the invasion, Germany announced a budget of 100 billion € for the restructuring of the army and announced that it would spend %2 of its GDP every year. Of course, it is notContinue reading “Military Expenditure Estimation with RJAGS Simulation”
Nuclear Threat Projection with Neural Network Time Series Forecasting
Unfortunately, we have been through tough times recently as going on Russian invasion in Ukraine. As Putin stacked to the corner via sanctions and lost in the field, he has been getting to be more dangerous. He has even threatened to use nuclear weapons if necessary. Because of the nuclear danger we’ve just mentioned above,Continue reading “Nuclear Threat Projection with Neural Network Time Series Forecasting”
Meta-Learning: Boosting and Bagging for Time Series Forecasting
I am always struggled to model the changes in gasoline prices as a categorical variable, especially in a small amount of time-series data. The answer to improving the performance of modeling such a dataset can be to combine more than one model. This method of combining and aggregating the predictions of multiple models is calledContinue reading “Meta-Learning: Boosting and Bagging for Time Series Forecasting”
Association Rules with Interactive Charts
Until today, we have examined the supervised learning algorithms; but this time, we will take a look at a different learning method. The algorithm we just mentioned is association rules which is an unsupervised learning method. The algorithm is referred to as market basket analysis as it usually has been applied to grocery data. TheContinue reading “Association Rules with Interactive Charts”
Comparing Decision Trees
In the last article of the current year, we will examine and compare some of the tree algorithms for the classification. The dataset we are going to use for this will be the answers given to the loan applicants and their evaluated features for it. The first algorithm we will talk about is the C5.0Continue reading “Comparing Decision Trees”
Lagged Predictors in Regression Models and Improving by Bootstrapping and Bagging
Huge lines at gas stations have been seen around Turkey in recent days. Under the reason for this is the rise in the prices so often, in the last few months and the expectation to continue this. Of course, it is known that the rise in the exchange rate (US dollar to Turkish lira) hasContinue reading “Lagged Predictors in Regression Models and Improving by Bootstrapping and Bagging”
Dynamic Regression with ARIMA Errors: The Students on the Streets
The higher education students have had trouble being housing in Turkey in recent days. There have been people who even sleep on the streets like a homeless. The government has been accused of investing inadequate dormitories for sheltering the students. Let’s examine the ongoing sheltering problem of students. The dataset we have built for thisContinue reading “Dynamic Regression with ARIMA Errors: The Students on the Streets”
Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?
Nowadays, every journalist and intellectual talks about a probable early election in Turkey’s ongoing poor economic conditions. But, is it politically right decision to go early election before the officially announced 23 June 2023 in terms of ruling parties? In order to answer this question, we have to choose some variables to monitor economic conditions,Continue reading “Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?”
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