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Wrangling and visualising data on the course videos
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Wrapping up IDS and answers to your questions
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Machine learning for text classification
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Building interactive web apps with R and Shiny
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Keeping up with IDS - Week 11
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Using tf-idf to compare documents
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Wrangling text data, tokenization, and sentiment analysis
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Making presentations and slides and project questions
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Bootstrapping to create a confidence interval for the mean with tidymodels
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Constructing a bootstrap confidence interval for the slope
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Predicting IMDB ratings of The Office episodes. Part 2 of 2: Modeling, cross validation, and model selection.
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Predicting IMDB ratings of The Office episodes. Part 1 of 2: Data preparation and feature engineering.
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Cross validation for evaluating model performance and RMSE
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Keeping up with IDS - Week 10
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Code along for Week 09
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