SeoulMetro_Congestion_Regression
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sh-1993
说明： 多校区项目，
(Project at MultiCampus,)
文件列表:
[00]_DOCUMENT/ (0, 2023-09-28)
[00]_DOCUMENT/00_頂勲滌牆韸 旮绊殟鞎.pdf (87384, 2023-09-28)
[00]_DOCUMENT/01_頂勲滌牆韸 旮绊殟鞎 PPT.pdf (1283210, 2023-09-28)
[00]_DOCUMENT/02_斓滌呺皽響 PPT.pdf (4639065, 2023-09-28)
[00]_DOCUMENT/03_.pdf (108671, 2023-09-28)
[00]_DOCUMENT/98_[D28]氍胳牅頃搓舶 牍呺嵃鞚错劙頇滌毄 頂勲滌牆韸竉鞁滌儊.pdf (1495213, 2023-09-28)
[00]_DOCUMENT/[D28] 상장(문제해결 빅데이터 활용 PJT)_최우수상.pdf (329589, 2023-09-28)
[01]_DATA/ (0, 2023-09-28)
[01]_DATA/FinalCongestion/ (0, 2023-09-28)
[01]_DATA/FinalCongestion/00_斓滌呿樇鞛‰弰靷办稖瓿检爼.ipynb (79501, 2023-09-28)
[01]_DATA/FinalCongestion/01_斓滌呿樇鞛‰弰(11雲勲弰).ipynb (127380, 2023-09-28)
[01]_DATA/FinalCongestion/02_斓滌呿樇鞛‰弰(13雲勲弰)_ipynb_(230915).ipynb (363106, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/ (0, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/1호선.csv (10168026, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/2호선.csv (51881038, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/3호선.csv (33868909, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/4호선.csv (26891709, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/5호선.csv (31171639, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/6호선.csv (21991663, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/7호선.csv (24163284, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/8호선.csv (9930420, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_1호선.csv (1682151, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_2호선.csv (8583587, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_3호선.csv (5600062, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_4호선.csv (4397994, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_51호선.csv (781895, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_5호선.csv (4678250, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_6호선.csv (3810859, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_7호선.csv (4265547, 2023-09-28)
[01]_DATA/FinalCongestion/DATA_FOR_NEXTSTEP/web_8호선.csv (1726803, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/ (0, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/3_시간별역별승하차정보.csv (116556, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/ (0, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/API_靹滌毟鞁 欤检殧 113 鞛レ唽 鞁れ嫓臧 雿办澊韯.ipynb (80425, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/[歆頃橃矤_100]_順胳劆氤勳棴氤刜鞀鬼晿彀鞚胳洂.ipynb (61381, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/[歆頃橃矤_101]_韱店芳韱淀暀_甑愴喌靾橂嫧.ipynb (53565, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/[歆頃橃矤_103]_順胳劆氤勳棴氤刜鞀鬼晿彀鞚胳洂_鞝勳泊雲胳劆鞝曤炒.ipynb (58839, 2023-09-28)
[01]_DATA/NumPeople_TimeZone/Code/[歆頃橃矤_104]_鞐旖旊摐.ipynb (11548, 2023-09-28)
... ...
# SeoulMetro_Congestion_Regression
Project at MultiCampus
## TITLE OF CONTENTS
- [PLAN](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#PLAN)
- [Outline](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Outline)
- [BackGround](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#BackGround)
- [DATA](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#DATA)
- [Data_Collection](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Data_Collection)
- [Data_Preprocessing](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Data_Preprocessing)
- [FINAL_CONGESTION](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#FINAL_CONGESTION)
- [Average_Congestion](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Average_Congestion)
- [Calculation](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Calculation)
- [FINAL_CONGESTION](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#FINAL_CONGESTION)
- [ML-REGRESSION](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#ML-REGRESSION)
- [LEARNING_METHOD](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#LEARNING_METHOD)
- [Evaluation_Indicators](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#Evaluation_Indicators)
- [WEB_SERVICE](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#WEB_SERVICE)
- [SERVICE](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#SERVICE)
- [DASHBOARD](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#DASHBOARD)
- [LOGIC](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#LOGIC)
- [CONCLUSION](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/#CONCLUSION)
## PLAN
### Outline
- :
- : Transit Insights
- : , , , , ,
- : 2023.09.01~2023.09.26
### BackGround
- , .
- 150% .
- , , .
-
- ** 1~8 **
- ** **
- ** **
- , .
## DATA
### Data_Collection
- **(), , **.
- data , , .
### Data_Preprocessing
- Missing value : 0 Null .
- 0
- Data Filtering
- data : COVID-19 2022~2021 .
- data 2020~2021 data
- 7 .
- .
- .
- .
-
- EDA .
- & .
- , .
- 2023 1~7 .
## FINAL_CONGESTION
### Average_Congestion
- data , , ~ .
- .
- data data .
### Calculation
- 2 0 .
- 2 5 .
- , 0 .
- 3 4 .
- 3 6 .
- 6 , .
- .
### FINAL_CONGESTION
- data .
- YEAR :
- MONTH :
- DAY :
- LINE :
- STATION :
- DIRECTION : /
- TIME_00 : ()
- CONGESTION :
## ML-REGRESSION
### LEARNING_METHOD
- : /
- :
- : -
-
-
- / : **XGBRegressor**
- :
- RandomForestRegressor .
- LinearRegressor .
- LGBMRegressor .
- XGBRegressor .
### Evaluation_Indicators
- .
## WEB_SERVICE
- .
### SERVICE
- .
- pkl /, .
- .
- : [YOUTUBE LINK](https://github.com/SSolLEE/SeoulMetro_Congestion_Regression/blob/master/https://www.youtube.com/watch?v=phZRdA8Wsik)
### DASHBOARD
- , .
- , / , .
### LOGIC
## CONCLUSION
- data data .
- data .
- data .
- .
- .
- COVID-19 data 2022 . data , .
- .
- PC , .
- .
### THE END ####
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