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Name of Quantlet: 'DEDA Course - Group 3 Homework: Capturing the Baijiu(白酒) Industry Landscape'

Published in: 'DEDA Course - Group 3 Homework: Capturing the Baijiu(白酒) Industry Landscape'

Description: 'This repository contains the Python code developed for our group project in the DEDA course.  The project focuses on analyzing the stock prices of Baijiu industry public firms, incorporating various data analysis and machine learning techniques.'

Keywords: 'LDA, text analysis, word cloud, time-series prediction, UMAP, MST'

Author: 'Jialu Gao, Nuo Chen, Yunru Si, Zhuochu Chen'

Submitted: '17 November 2024'

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
1 wordcloud1.py		1 wordcloud1.py
10 umap.py		10 umap.py
11 factors.py		11 factors.py
12 label.py		12 label.py
13 factors_analysis.py		13 factors_analysis.py
14 train_test_split.py		14 train_test_split.py
15 prediction_xgboost.py		15 prediction_xgboost.py
16 prediction_svm.py		16 prediction_svm.py
2 wordcloud2.py		2 wordcloud2.py
2023 Alcohol Industry Economic Operation Report.txt		2023 Alcohol Industry Economic Operation Report.txt
3 LDA.py		3 LDA.py
4 data.py		4 data.py
5 interactive_visualisations.py		5 interactive_visualisations.py
6 ma_dr.py		6 ma_dr.py
7 mst_ts_index.py		7 mst_ts_index.py
8 mst_ts_stock.py		8 mst_ts_stock.py
9 mst_stock.py		9 mst_stock.py
Metainfo.txt		Metainfo.txt
README.md		README.md
cur1.png		cur1.png
cur9.png		cur9.png
font1.ttf		font1.ttf
indexdata.csv		indexdata.csv
jiu2.txt		jiu2.txt
report2.txt		report2.txt
stockadj.csv		stockadj.csv
stockdata.csv		stockdata.csv
stockdata_adj.csv		stockdata_adj.csv
stockdata_factors.csv		stockdata_factors.csv

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