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Selcuk Disci
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Selcuk Disci's blog post was featured

Approaches to Time Series Data with Weak Seasonality

In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the best fit for our data. When we chose the KNN and Arima model, we saw the traditional Arima model…See More
Oct 25
Selcuk Disci's blog post was featured

Time Series Forecasting: KNN vs. ARIMA

It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data often expose to serial correlation. In this article, we will compare k nearest neighbor (KNN) regression which is a supervised machine learning method, with a more classical and stochastic process, autoregressive integrated moving average (ARIMA).We will use the monthly prices of refined gold futures(XAUTRY) for one gram in Turkish Lira traded on BIST(Istanbul Stock…See More
Oct 1
Selcuk Disci posted a blog post

Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff

In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail why we selected the cubic model for prediction and see whether our decision was right or not.When we analyze the regression trend models we should consider overfitting and underfitting situations; underfitting…See More
Sep 6
Selcuk Disci's blog post was featured

Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff

In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail why we selected the cubic model for prediction and see whether our decision was right or not.When we analyze the regression trend models we should consider overfitting and underfitting situations; underfitting…See More
Jul 12
Selcuk Disci posted a blog post

Testing the Correlation between Time Series Variables

In this article, we will examine whether the gasoline prices are related to the variables that are…See More
May 14
Selcuk Disci's blog post was featured

Testing the Correlation between Time Series Variables

In this article, we will examine whether the gasoline prices are related to the variables that are…See More
May 10
Selcuk Disci liked Stephanie Glen's blog post Statistical Uncertainty: Why are Covid-19 Figures so Varied?
Mar 25

Profile Information

Job Title:
Data Scientist
Job Function:
Data Science, Machine Learning, AI, Business Analytics, Deep Learning, BI, IoT
Short Bio:
Bachelor degree in Electronic Engineering
Master of Management Information Systems
Interests:
Contributing

Selcuk Disci's Blog

Approaches to Time Series Data with Weak Seasonality

Posted on October 24, 2020 at 11:00pm 0 Comments

In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the best fit for our data. When we chose the…

Continue

Time Series Forecasting: KNN vs. ARIMA

Posted on September 30, 2020 at 10:00am 0 Comments

It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data often expose to serial correlation. In this article, we will compare k nearest neighbor (KNN) regression which is a supervised machine learning method, with a more classical and stochastic process, autoregressive integrated moving average (ARIMA).

We will use the monthly prices of refined gold futures(XAUTRY) for one gram…

Continue

Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff

Posted on July 10, 2020 at 2:30am 0 Comments

In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail why we selected the cubic model for prediction and see whether our decision was right or not.

When we analyze the regression trend models we should consider overfitting and underfitting…

Continue

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