데이터 엔지니어

HTML 아이디와 비밀번호 웹에서 입력하는 방법

HTML type = text를 만드는 방법

HTML title에 한글 깨짐 현상 해결하는 방법

[Python] Surprise 라이브러리로 최근접이웃 사용 방법

# Quick Start # input : 사용자ID, 아이템ID # Output : 평점 import pandas as pd from surprise import Dataset from surprise import Reader from surprise import KNNBasic from surprise.model_selection import train_test_split data = Dataset.load_builtin('ml-100k') df = pd.DataFrame(data.__dict__['raw_ratings'], columns = ['user_id', 'item_id', 'rating', 'timestamp']) df.drop(['timestamp'], axis = 1, inplace =..

[Python] Surprise 라이브러리로 예측평점과 실제평점 비교해보기

import pandas as pd from surprise import Dataset from surprise import Reader from surprise import SVD from surprise import accuracy from surprise.model_selection import train_test_split data = Dataset.load_builtin('ml-100k') df = pd.DataFrame(data.__dict__['raw_ratings'], columns = ['user_id', 'item_id', 'rating', 'timestamp']) df.drop(['timestamp'], axis = 1, inplace = True) reader = Reader(rat..

[Python] Surprise 라이브러리로 사용자의 아이템 예측해보기

import pandas as pd from surprise import Dataset from surprise import Reader from surprise import SVD from surprise import accuracy from surprise.model_selection import train_test_split data = Dataset.load_builtin('ml-100k') df = pd.DataFrame(data.__dict__['raw_ratings'], columns = ['user_id', 'item_id', 'rating', 'timestamp']) df.drop(['timestamp'], axis = 1, inplace = True) # df reader = Reade..

[Python] Surprise 라이브러리로 RMSE 출력하는 방법

import pandas as pd from surprise import Dataset from surprise import Reader from surprise import SVD from surprise import accuracy from surprise.model_selection import train_test_split data = Dataset.load_builtin('ml-100k') df = pd.DataFrame(data.__dict__['raw_ratings'], columns = ['user_id', 'item_id', 'rating', 'timestamp']) df.drop(['timestamp'], axis = 1, inplace = True) reader = Reader(rat..

[Python] Surprise 라이브러리로 간단하게 평점 예측해보기

import pandas as pd from surprise import Dataset from surprise import Reader from surprise import SVD from surprise.model_selection import train_test_split data = Dataset.load_builtin('ml-100k') df = pd.DataFrame(data.__dict__['raw_ratings'], columns = ['user_id', 'item_id', 'rating', 'timestamp']) df.drop(['timestamp'], axis = 1, inplace = True) reader = Reader(rating_scale=(1, 5)) data = Datas..

[Python] 5년 주가차트와 주가/평균가격 차트 비교하는 방법

- DB하이텍 - 5년 주가 ''' pip install pandas,beautifulsoup4,finance-datareader,matplotlib,cufflinks,chart_studio -y ''' import FinanceDataReader as fdr import cufflinks as cf import plotly.offline as plyo import pandas as pd # import matplotlib.pyplot as plt from datetime import datetime from dateutil.relativedelta import relativedelta def get_stock_code(name): df = fdr.StockListing('KRX') stock_code ..

[Python] 삼성전자 시가 고가 저가 종가 캔들 그래프 그리는 방법

- 삼성전자 ''' pip install pandas,beautifulsoup4,finance-datareader,matplotlib,cufflinks,chart_studio -y ''' import FinanceDataReader as fdr import cufflinks as cf import plotly.offline as plyo import pandas as pd # import matplotlib.pyplot as plt from datetime import datetime from dateutil.relativedelta import relativedelta def get_stock_code(name): df = fdr.StockListing('KRX') stock_code = df[df['..