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This is "ukb-gxmu" assignment for learning the R programming on Coursera.

This project demonstrates how to build a next-word prediction model using basic text mining techniques in R. It analyzes word frequencies and n-grams (word sequences) from sample text data to predict the most likely next word in a sentence.

Plot from kruskal walis test for zone of inhibition for 5CTSA