【文件属性】：
文件名称：lectures:MY459 LT 2019的讲义
文件大小：122.52MB
文件格式：ZIP
更新时间：2021-05-03 01:17:49
HTML
MY459，LT 2021的授课材料
课程讲义页面： :
【文件预览】：
lectures-master
----week03()
--------candidate-tweets.csv(6.3MB)
--------QTA_LSE_Day3.pdf(1.45MB)
--------dictionary-methods-example.Rmd(6KB)
----.gitignore(66B)
----week08()
--------QTA_LSE_Day7.pdf(1.53MB)
--------movie-plots.csv.zip(17.32MB)
--------comparing-documents.Rmd(4KB)
----week07()
--------QTA_LSE_Day6.pdf(3.6MB)
--------unsupervised-scaling-examples.Rmd(6KB)
----week05()
--------data()
--------QTA_LSE_Day5.pdf(1.18MB)
--------wordscores-example.Rmd(3KB)
----week11()
--------04-avg-embedding-classifier.html(625KB)
--------QTA_LSE_Day10.pdf(868KB)
--------02-pre-processing.Rmd(7KB)
--------on_tables_in_pdfs()
--------05-deep-classifier.html(625KB)
--------05-deep-classifier.Rmd(7KB)
--------04-avg-embedding-classifier.Rmd(4KB)
--------tutorial-twitter-streaming-api.Rmd(9KB)
--------tutorial-twitter-rest-api.Rmd(4KB)
--------03-tf-classifiers.Rmd(7KB)
--------02-pre-processing.html(625KB)
--------03-tf-classifiers.html(631KB)
--------01-streaming-tweets.html(623KB)
--------01-streaming-tweets.Rmd(7KB)
----week09()
--------QTA_LSE_Day8.pdf(4.73MB)
--------03-structural-topic-models.Rmd(10KB)
--------fb-congress-data.csv(4.1MB)
--------02-simple-topic-model.Rmd(5KB)
--------general_theory_cover.pdf(1.24MB)
--------01-parsing-pdfs.Rmd(3KB)
----README.md(97B)
----week02()
--------descriptive-statistics.Rmd(2KB)
--------QTA_LSE_Day2.pdf(1.26MB)
----week04()
--------data()
--------supervised-learning.Rmd(7KB)
--------QTA_LSE_Day4.pdf(7.81MB)
----week10()
--------02-training-word2vec.Rmd(3KB)
--------materials_from_previous_years()
--------01-replicating-key-results.Rmd(8KB)
--------QTA_LSE_Day9.pdf(1.19MB)
----week01()
--------QTA_LSE_Day1.pdf(3.4MB)