Evan Muzzall

line 134 not behaving as expected... model$results[as.integer(rownames(model$bestTune)), ]

Replace lda = LatentDirichletAllocation(n_topics=10, max_iter=20, random_state=0) with lda = LatentDirichletAllocation(n_components=10, max_iter=20, random_state=0) in 02-unsupervised.ipynb and 02-unupervised-solutions.ipynb for newer versions of sklearn?

Shape issue with cosine_similarity

2

Update print("Cosine similarity between first and second book:") cosine_similarity needs updating

Add note for when tokenization with nltk does not work

1

import nltk nltk.download('punkt')

02_unsupervised.ipynb: change n_topics to n_components

1

in lda = LatentDirichletAllocation() change parameter `n_topics=` to `n_components=` Also, remove the deprecation warning.

Intro to Python Machine Learning as a *recommended* prerequisite for Text Analysis Fundamentals? Preface this in the README and slides/intro materials - perhaps something like: "We strongly recommend you take...