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”
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