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Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
build a sentiment analysis model which will allow us to categorize words based on their sentiments, that is whether they are positive, negative and also the magnitude of it.
Statistics project in R about time spent, relating data to current and past issues. Our data source is the OWID website where we collected data from the data tables.
In this repository, I've explored R programming, from basics to advanced concepts, for statistical models, data analysis, and data science. 📊🔍 Join me on this enriching journey! 🚀
RBP-Data-Processing is a repository containing R code for processing RNA-binding protein (RBP) datasets. The code imports the data table, performs data cleaning and transformation operations, and saves the processed dataset. It provides a convenient and reproducible workflow for analyzing RBP data obtained from external sources.
Transferring Performance Prediction Models Across Different Hardware Platforms. Трансфер моделей прогнозирования производительности между различными аппаратными платформами