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ai데이터 셋
https://www.robots.ox.ac.uk/~vgg/data/
https://www.tensorflow.org/tutorials/images/segmentation
나눔고딕
https://docs.oracle.com/javase/8/docs/api/
# 주요 라이브러리 import
import warnings
warnings.filterwarnings(action='ignore')
import time
from IPython.display import Image
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import cross_val_score
from sklearn.metrics import *
from sklearn.metrics import roc_curve, roc_auc_score
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
from sklearn import datasets
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import Ridge, Lasso, ElasticNet
from matplotlib import rc, font_manager
import matplotlib.font_manager as fm
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder
------window------------------------
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm # 폰트 관련 용도
%config InlineBackend.figure_format = 'retina'
fontpath = 'C:/ProgramData/Anaconda3/Lib/site-packages/pytagcloud/fonts/NanumGothic.ttf'
font_name = fm.FontProperties(fname=fontpath, size=9).get_name()
plt.rc('font', family=font_name)
------mac------------------------
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm # 폰트 관련 용도
%config InlineBackend.figure_format = 'retina'
# 디렉토리 및 파일 이름에 맞추어 변경
#font_location = '/Library/Fonts/Arial Unicode.ttf'#윈도우안에있는 폰트파일주소.
# font_location = './NanumGothic.ttf'
# font_name = fm.FontProperties(fname=font_location).get_name()
# rc('font', family=font_name)
------colab------------------------
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm # 폰트 관련 용도
%config InlineBackend.figure_format = 'retina'
#!apt -qq -y install fonts-nanum
# 여기까지하고 런타임 다시 시작!!-----> 이 셀부터 설치빼고 다시 실행
# import matplotlib.font_manager as fm
# fontpath = '/usr/share/fonts/truetype/nanum/NanumBarunGothic.ttf'
# font_name = fm.FontProperties(fname=fontpath, size=9).get_name()
# plt.rc('font', family=font_name)
# print(font_name)
# fm._rebuild()
# plt.title('안녕!')
colab에 한글처리, konlpy, wordcloud설치
PANDAS pyplot
https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.area.html
맥 한글 설정
-------------------------
import matplotlib.pyplot as plt
#이거 임포트 해줘야 차트에서 오류안남. 한글파일때문에 오류나는거.
from matplotlib import rc, font_manager
import matplotlib.font_manager as fm
# 디렉토리 및 파일 이름에 맞추어 변경
font_location = '/Library/Fonts/Arial Unicode.ttf'#윈도우안에있는 폰트파일주소.
# font_location = './NanumGothic.ttf'
font_name = fm.FontProperties(fname=font_location).get_name()
rc('font', family=font_name)
온라인 PANDAS 참고 사이트
https://wikidocs.net/book/7188
온라인 python 참고 사이트
http://pythonstudy.xyz/Python/Basics
데이터 분석 부분 - git 주소
https://github.com/aliciawill/python-data/tree/master.
https://us02web.zoom.us/j/3193320197?pwd=RkkzdzB5OVFOVG10N28vdEZLQWhIQT09
https://docs.google.com/presentation/d/1fEmj9Fo2rw9KluuBEkPuqUzlZeKgF_50J6ix8icFh5k/edit?usp=sharing
수업 git주소
https://github.com/aliciawill/hi-data
데이터분석 과정 안내
-------------------
https://docs.google.com/presentation/d/1NvolupHRK9yxiaBC8Hanb2UhhxR60q8Kc9UppQ7xPUk/edit?usp=sharing
프로젝트 샘플
------------
https://drive.google.com/file/d/1Eux3GbA5CD3a3t0S_Ou2EGVMr8ZwpOas/view?usp=sharing
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https://docs.google.com/presentation/d/1QiRpkPJpV24PLVGmQWEA9khnWIARnpWe2iwJT9IcJDY/edit?usp=sharing
https://drive.google.com/file/d/1IbNxjgFmAjAtLW4Sbi6elitIxb1UYnRV/view?usp=sharing
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https://docs.google.com/presentation/d/1S0wcDoYxCdEwI9wrgZZ2zm-mYx0E7cNq-tcZAofrBE8/edit?usp=sharing
https://drive.google.com/file/d/1-gUReJAJXz1wbXAT-58-Jcqkn104hdXJ/view?usp=sharing
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https://docs.google.com/presentation/d/1uVvYgJoMVpO8zqLX0f4PGla7dbSCKfH2qYSKIGknQRE/edit?usp=sharing
https://drive.google.com/file/d/1xfM5LlHb8AsUGv2sPUQLAsQxVbbawyRY/view?usp=sharing
자바 수업용 git-hub
https://github.com/aliciawill/hi-data
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