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Selcuk Disci
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Profile Information

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

Selcuk Disci's Blog

Backcast a Time Series for COVID-19 Truths

Posted on January 29, 2021 at 12:00am 0 Comments

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Bootstrapping Time Series for Gold Rush

Posted on December 14, 2020 at 5:58am 0 Comments

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 case, moving block bootstrap (MBB) should be preferred because MBB resamples the data inside overlapping blocks to…

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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…

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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…

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