Allen's 데이터 맛집

About Dataset Context and Content A company which is active in Big Data and Data Science wants to hire data scientists among people who successfully pass some courses which conduct by the company. Many people signup for their training. Company wants to know which of these candidates are really wants to work for the company after training or looking for a new employment because it helps to reduce..

대학원 입학 예측(회귀) 데이터를 가지고 대학원에 입학할 확률을 구해보겠습니다. 예측할 값(target): "Chance of Admit " 평가: r2 data(3개): t2-2-X_train, t2-2-y_train, t2-2-X_test 제출 형식(Serial No.-> id, 예측 값 -> target) id, target 28,0.741696 76,0.779616 151,0.897247 데이터 불러오기 각각 데이터를 불러옵니다. import pandas as pd # 데이터 불러오기 X_train = pd.read_csv("../input/big-data-analytics-certification/t2-2-X_train.csv") y_train = pd.read_csv("../input/big-..

집 값 예측 Description. Start here if... You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition. 💡Getting Started Notebook To get started quickly, feel free to take advantage of this starter note..

성인의 소득을 아래의 다양한 칼럼들을 사용하여 예측을 진행해 보겠습니다. age: 나이 workclass: 고용 형태 fnlwgt: 사람의 대표성을 나타내는 가중치(final weight) education: 교육 수준 education.num: 교육 수준 수치 marital.status: 결혼 상태 occupation: 업종 relationship: 가족 관계 race: 인종 sex: 성별 capital.gain: 양도 소득 capital.loss: 양도 손실 hours.per.week: 주당 근무 시간 native.country: 국적 income: 수익 (예측해야 하는 값) 데이터 불러오기 데이터 분석을 위해 adult.csv 파일을 불러오고 X_train, X_test, y_train, y_tes..