For7004_Poster

ALİHAN AKKASOGLU 2310504003

IDK

Kubra Gokce 2310504016 Eğitim, bireylerin beşerî sermayesini geliştiren ve ülkelerin uzun vadeli ekonomik büyüme ve kalkınma süreçlerinde belirleyici rol oynayan temel bir faktördür.Eğitime yapılan harcamalar ve eğitim düzeyi; istihdam, gelir seviyesi ve kalkınma göstergeleriyle yakından ilişkilidir. Bu çalışmada, Dünya Bankası verileri kullanılarak eğitim durumu ile sosyo-ekonomik kalkınma göstergeleri arasındaki ilişki incelenmiştir.

This is an exploratory analysis of the package randomForest as I used caret package in earlier rmarkdown publications to model data. The lyme disease data was from online source in the 1st rpub document in this profile, but we used it again to go from 61% accuracy with 4 classes to 85% accuracy with 2 classes. Tuning was used for best parameters on a 80 feature wide or big dataset of genes to predict the class of acute infection versus chronic infection.

This report explores large text datasets from blogs, news articles, and Twitter to build the foundation for a predictive text input application. The analysis includes basic summary statistics, data cleaning and preprocessing, and exploratory analysis of word frequencies. Unigram, bigram, and trigram models are developed to predict the next word in a sequence, along with a backoff strategy to handle unseen word combinations. The report also discusses considerations related to model size, memory usage, and runtime efficiency, and outlines plans for deploying the model as a Shiny application.