Skip to content

ImJaeSung/Data_preprocessing

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
0. DataFrame.ipynb
0. DataFrame.ipynb
 
 
01-1. Preprocessing.ipynb
01-1. Preprocessing.ipynb
 
 
01. Preprocessing.ipynb
01. Preprocessing.ipynb
 
 
02-1. Data extraction.ipynb
02-1. Data extraction.ipynb
 
 
02. Data extraction.ipynb
02. Data extraction.ipynb
 
 
03-1. Series, Visualization(1).ipynb
03-1. Series, Visualization(1).ipynb
 
 
03. Series, Visualization(1).ipynb
03. Series, Visualization(1).ipynb
 
 
04-1. Visualization.ipynb
04-1. Visualization.ipynb
 
 
04. Visualizaton(2).ipynb
04. Visualizaton(2).ipynb
 
 
05-1. Concat, Merge.ipynb
05-1. Concat, Merge.ipynb
 
 
05. Concat, Merge.ipynb
05. Concat, Merge.ipynb
 
 
06-1. Melt.ipynb
06-1. Melt.ipynb
 
 
06. Melt.ipynb
06. Melt.ipynb
 
 
07-1. Timeseries data.ipynb
07-1. Timeseries data.ipynb
 
 
07-2. Timeseries data.ipynb
07-2. Timeseries data.ipynb
 
 
07. Timeseries data.ipynb
07. Timeseries data.ipynb
 
 
08-1. Prophet.ipynb
08-1. Prophet.ipynb
 
 
08. Timeseries prediction using prophet.ipynb
08. Timeseries prediction using prophet.ipynb
 
 
09-1. Regular expression(1).ipynb
09-1. Regular expression(1).ipynb
 
 
09-2. Regular expression(1).ipynb
09-2. Regular expression(1).ipynb
 
 
09. Regular expression(1).ipynb
09. Regular expression(1).ipynb
 
 
10-1. Regular expression(2).ipynb
10-1. Regular expression(2).ipynb
 
 
10-2. Regular expression(2).ipynb
10-2. Regular expression(2).ipynb
 
 
10. Regular expression(2).ipynb
10. Regular expression(2).ipynb
 
 
11-1. Log transformation.ipynb
11-1. Log transformation.ipynb
 
 
11-2. Data preprocessing.ipynb
11-2. Data preprocessing.ipynb
 
 
11. Data encoding.ipynb
11. Data encoding.ipynb
 
 
12-1. Cross validation.ipynb
12-1. Cross validation.ipynb
 
 
12. Cross validation.ipynb
12. Cross validation.ipynb
 
 
13-1. Modeling.ipynb
13-1. Modeling.ipynb
 
 
13. Modeling report.ipynb
13. Modeling report.ipynb
 
 
README.md
README.md
 
 

Repository files navigation

Data_preprocessing

2022년 11월부터 2023년 6월까지 진행된 Big Data Ananlysis Association(BDA) 학회 데이터 분석 기초반 공부 내용입니다.

BDA란?

데이터 분석에 진심인 현직자들과 함께 스터디를 진행하며 "데이터 분석 전문가를 양성"하고자 하는 학회입니다. 수년간의 데이터 분석 노하우를 공유하고자 시작한 BDA에서는 데이터 분석에 필요한 데이터의 개념, 통계 지식, 프로그래밍 언어를 중점적으로 스터디하고 있습니다.

BDA 공식 instagram

https://www.instagram.com/official.bdaa/?igshid=YmMyMTA2M2Y%3D

About

Big Data Ananlysis Association(BDA) Conference: Data Analysis Class

Topics

python data-analysis preprocessing bda

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages