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Continue reading →: Nuclear Threat Projection with Neural Network Time Series ForecastingUnfortunately, 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…
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Continue reading →: Meta-Learning: Boosting and Bagging for Time Series ForecastingI 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…
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Continue reading →: Association Rules with Interactive ChartsUntil 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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Continue reading →: Comparing Decision TreesIn 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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I’m Selcuk Disci
The DataGeeek focuses on machine learning, deep learning, and Generative AI in data science using financial data for educational and informational purposes.
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