Articles by Selcuk Disci

Military Expenditure Estimation with RJAGS Simulation

April 29, 2022 | Selcuk Disci

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 ...
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Association Rules with Interactive Charts

January 26, 2022 | Selcuk Disci

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 ...
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Comparing Decision Trees

December 31, 2021 | Selcuk Disci

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 ...
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ARIMA Method from {fable}: The Election is Coming for Turkey?

September 20, 2021 | Selcuk Disci

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 ...
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Feature Importance in Random Forest

July 1, 2021 | Selcuk Disci

The Turkish president thinks that high interest rates cause inflation, contrary to the traditional economic approach. For this reason, he dismissed two central bank chiefs within a year. And yes, unfortunately, the central bank officials have limited independence doing their job in Turkey contrary to the rest of the world. ...
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Dynamic Regression (ARIMA) vs. XGBoost

April 1, 2021 | Selcuk Disci

In the previous article, we mentioned that we were going to compare dynamic regression with ARIMA errors and the xgboost. Before doing that, let’s talk about dynamic regression. Time series modeling, most of the time, uses past observations as predictor variables. But sometimes, we need external variables that affect ...
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Backcast a Time Series for Covid-19 Truths

January 25, 2021 | Selcuk Disci

A couple of months ago, Turkey’s Health Minister announced that the positive cases showing no signs of illness were not included in the statistics. This statement made an earthquake effect in Turkey, and unfortunately, the articles about covid-19 I have wrote before came to nothing. The reason for this ...
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Bootstrapping Time Series for Gold Rush

December 14, 2020 | Selcuk Disci

Bootstrap aggregating (bagging), is a very useful averaging method to improve accuracy and avoids overfitting, in modeling the time series. It also helps stability so that we don’t have to do Box-Cox transformation to the data. Modeling time series data is difficult because the data are autocorrelated. In this ...
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