전체 글 (61) 썸네일형 리스트형 NLP Approaching (Almost) Any NLP Problem on Kaggle2탄 라이브 러리 임포트 import pandas as pd import numpy as np import xgboost as xgb from tqdm import tqdm from sklearn.svm import SVC from keras.models import Sequential from keras.layers.recurrent import LSTM, GRU from keras.layers.core import Dense, Activation, Dropout from keras.layers.embeddings import Embedding from keras.layers.normalization import BatchNormalization from keras.utils import np_utils f.. 캐글코리아 Spooky NLP and Topic Modelling tutorial 라이브러리 임포트 import base64 import numpy as np import pandas as pd # Plotly imports import plotly.offline as py py.init_notebook_mode(connected=True) import plotly.graph_objs as go import plotly.tools as tls # Other imports from collections import Counter from scipy.misc import imread from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer from sklearn.decomposition import NMF, .. 가장 가까운 글자 그저 내 능력으로 안되서 코드를 가져왔다. def solution(s): answer = [] s_dict = dict() for i in range(len(s)): if s[i] not in s_dict: answer.append(-1) else: answer.append(i-s_dict[s[i]]) s_dict[s[i]] = i return answer 이전 1 2 3 4 5 6 7 8 ··· 21 다음
