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Jie Zou

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622: final
spam email classification
622: hw3
622: hw2
decision tree vs random forest
622: hw1
624: project1
Time Series Batch 1
Blog5: Model Selection
Blog4: Date Classification
Blog3: PCA Linear Model
Data 621 - Final Project v2
Data 621 - Final Project v4
blog1: StreamGraph
621: hw3
608: hw1
data ratio ink
605: final
PageRank + digit_recognizer
605 final_part2
California housing price prediction
605: hw15
605: discussion15
ex9-15 pg711
605: hw14
Taylor series expansion
605: discussion14
Limit Comparison Test
605: hw13
calculus
605: hw12
605: discussion12
605: hw11
605: hw10
605: discussion10
605: hw9
605: discussion9
605: hw8
605: discussion8
605: assignment7
605: Assignment6
605: Assignment5
605: assignment4
compute eigenshoes with 80% of variability
605: discussion4
605: discussion3
605: hw3
605: w2_discusion
605: Assignment2
605: discussion1
Pick a question you like the most and answer it. If you stuck, write down what you think and your possible approach.
Document
Sentiment analysis
sentiment lexicon: nrc & bing
a_9: Web APIs
tidyverse + dplyr
simple example of using tidyverse and dplyr
a_5: xml, json and html in R
p2: tidy & transform data
working in three chosen data set to do tidying and analysis
607_p1: Chess tournament
Assignment3
Assignment_1