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?”

Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN

In recent days, Turkey has been escalated wildfires. The government and the people were on the alert and mobilized to put out the fires but, they couldn’t for days. A significant part of people thought that the simultaneous fires had no make sense, and there was probably some kind of terrorist actions beyond these fires.Continue reading “Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN”

Plotly for Data Visualization: The Vaccinations Effect on Covid-19

One of the most frequently asked questions these days is whether the vaccine works in reducing the number of cases and deaths. In order to examine that we will build a function so that we can run for every country we want without repeating the same code block. The dataset we’re going to use forContinue reading “Plotly for Data Visualization: The Vaccinations Effect on Covid-19”

Feature Importance in Random Forest

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. In order to check thatContinue reading “Feature Importance in Random Forest”

Simulated Neural Network with Bootstrapping Time Series Data

In the previous article, we examined the performances of covid-19 management of some developed countries and we found that the UK was slightly better than others. This time we are going to predict the spread of disease for about a month in the UK. The algorithm we will use for this purpose is the neuralContinue reading “Simulated Neural Network with Bootstrapping Time Series Data”

Comparing the Coronavirus Pandemic (COVID-19) Management for some Developed Countries

The pandemic continues at full speed in Turkey where I live, because the government doesn’t conduct the process well; the data they provide is so doubtful, and the decisions they made are very inconsistent. So, I wondered about the situation in the other part of the world, especially the developed countries. In order to that,Continue reading “Comparing the Coronavirus Pandemic (COVID-19) Management for some Developed Countries”