ppojun/bigdata_python

This is using by Python, IPython, notebook

1. download jupyter http://jupyter.org
2. download anaconda https://www.anaconda.com/distribution/#download-section
3. run run-anaconda3-Jupyter Notebook or Anaconda PowerShell prompt, or Anaconda Prompt  Windows PowerShell, or cmd

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day 1(19.09.06)

• 1. 빅데이터 소개 및 시각화.pdf
• 01_seoul.ipynb
• 02_matplotlib.ipynb
• 03_temperature.ipynb
• seoul.csv (the data was download by https://data.kma.go.kr)

day 2(19.09.20)

• 02_NumPy 기본.pdf
• Day 2 Numpy.ipynb

day 3(19.09.27)

• 3. pandas 시작하기.ipynb
• 3. Pandas 시작하기.pdf

day 4(19.10.04)

• 04_머신러닝이란.pdf

day 5(19.10.11)

• 05_머신러닝 프로젝트.pdf
• Day_05\datasets\housing\housing.csv
• Day_05\datasets\housing\housing.tgz
• 05_machine_learning_project.ipynb
• (There are some errors in '05_machine_learning_project.ipynb' which is 'from sklearn's CategoricalEncoder importing error' I heard this error is only occur in under scikit-learn version 0.20 but my scikit-learn version is 0.21.2 I tried to fix the error but failed..)
• 05_end_to_end_machine_learning_project.ipynb (05_end_to_end_machine_learning_project.ipynb this file is the answer)

day 6(19.10.18)

• 프로젝트 진행 상황 발표
• 06_classification.ipynb
• mnist-original.mat

day 7(19.11.01)

• 07_모델훈련.pdf
• model_training.ipynb

day 8(19.11.08)

• Day_08\01.KaggleBike\Kaggle .ipynb

• Day_08\01.KaggleBike\test.csv

• Day_08\01.KaggleBike\train.csv

• Day_08\02.DAEGU METRO\02. 대구 지하철 승하차 인원 분석(최종).ipynb

• Day_08\02.DAEGU METRO\03. 대구도시철도공사_일별시간별승하차인원_20171231.csv

• Day_08\02.DAEGU METRO\04. 대구도시철도공사_일별시간별승하차인원_20181231.csv

• Day_08\02.DAEGU METRO\05. 대구도시철도공사_일별시간별승하차인원_20190831.csv

• Day_08\02.DAEGU METRO\06. 대구도시철도공사_도시철도역사정보_20190923.csv

• Day_08\03.APT RENT\aptrent.csv