AI & Data Analysis/Kaggle Notebook6 [NLP] SMS Spam Collection Dataset 📨 SMS Spam Collection Dataset with NLP https://www.kaggle.com/code/emilyjiminroh/sms-spam-collection-dataset-with-nlp ✒️Description Context The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam. Content The files contain one message pe.. 2022. 6. 7. [CNN] Traffic Signs Classification with Explanation Traffic Signs Preprocessed with CNN https://www.kaggle.com/code/emilyjiminroh/cnn-traffic-signs-classification-with-explanation [ ✒️Description ] Sichkar V. N. Real time detection and classification of traffic signs based on YOLO version 3 algorithm. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 418–424. DOI: 10.17586/2226-1494-2020.. 2022. 5. 27. [EDA & Visualization] Netflix Dataset https://www.kaggle.com/code/emilyjiminroh/netflix-dataset-eda-visualization-collabo-ver # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load import numpy as np # linear algebra import pandas as pd # data processing, CSV fil.. 2022. 5. 27. [EDA] Home-credit-default-risk Dataset https://www.kaggle.com/code/emilyjiminroh/eda-visualization-home-credit-default-risk 대출 상환 예측 데이터 https://www.kaggle.com/c/home-credit-default-risk 고객 정보를 기반으로 대출 상환 가능 여부 예측(0이면 상환 가능, 1이면 상환 불가능) 메인 테이블(application_train, application_test)만 사용 예정 linkcode 많은 사람들이 신용 기록이 부족하거나 존재하지 않아 대출을 받기 위해 애쓴다. 그리고 불행하게도, 이 인구는 종종 신뢰할 수 없는 대출자들에 의해 이용된다. 홈 크레딧은 긍정적이고 안전한 대출 경험을 제공함으로써 비은행 인구에 대한 금융 포함을 확대하.. 2022. 5. 27. [EDA & Visualization] San_Francisco Data https://www.kaggle.com/code/emilyjiminroh/eda-visualization-san-francisco-notebook # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O.. 2022. 3. 31. [CNN] Fashion-Mnist-Data https://www.kaggle.com/code/emilyjiminroh/cnn-fashion-mnist Import 라이브러리 In [1]: import sys import os In [2]: from keras.datasets import mnist from keras.utils import np_utils # 원-핫 인코딩. np_utils.to_categorical(클래스, 클래스의 개수) In [3]: from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D from keras.callbacks import ModelCheckpoint, EarlyStopping.. 2022. 3. 31. 이전 1 다음
