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데이터 출처 : research.google/tools/datasets/google-facial-expression/ Google facial expression comparison dataset – Google Research This dataset is a large-scale facial expression dataset consisting of face image triplets along with human annotations that specify which two faces in each triplet form the most similar pair in terms of facial expression. Each triplet in this dataset was a research.goog..

데이터 출처 : research.google/tools/datasets/google-facial-expression/ Google facial expression comparison dataset – Google Research This dataset is a large-scale facial expression dataset consisting of face image triplets along with human annotations that specify which two faces in each triplet form the most similar pair in terms of facial expression. Each triplet in this dataset was a research.goog..

데이터 출처 : www.kaggle.com/mlg-ulb/creditcardfraud Credit Card Fraud Detection Anonymized credit card transactions labeled as fraudulent or genuine www.kaggle.com github 주소 : github.com/sangHa0411/DataScience/blob/main/Credit%20Card%20Fraud%20Detection.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com 이번 포스팅에서는 Credit Card 결제에..

데이터 출처 : www.kaggle.com/teertha/ushealthinsurancedataset US Health Insurance Dataset Insurance Premium Charges in US with important details for risk underwriting. www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/Insurance_Charges.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com 이전 포스팅에서 데이터 분석 및 특성 선..

데이터 출처 : www.kaggle.com/teertha/ushealthinsurancedataset US Health Insurance Dataset Insurance Premium Charges in US with important details for risk underwriting. www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/Insurance_Charges.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com 이번 포스팅에서는 다음 포스팅에서 얘기할..

데이터 출처 : www.kaggle.com/ronitf/heart-disease-uci Heart Disease UCI https://archive.ics.uci.edu/ml/datasets/Heart+Disease www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/Heart_Disease.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com 먼저 Pandas를 이용해서 데이터를 불러오겠습니다. 데이터의 총 갯수는 303개인 것을 확인할 수 있습니다. 데이터의 속..

데이터 출처 : www.kaggle.com/harlfoxem/housesalesprediction House Sales in King County, USA Predict house price using regression www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/House_Sales.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com Part2에서는 Part1에서 진행한 데이터 분석을 토대로 해서 특성을 추출하고 이를 이용해서 Random Forest를..

데이터 출처 : www.kaggle.com/harlfoxem/housesalesprediction House Sales in King County, USA Predict house price using regression www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/House_Sales.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com Part1 에서는 데이터 분석하도록 해보겠습니다 Part2에서는 분석한 데이터를 토대로 해서 Random Forest를 ..

데이터 출처 : www.kaggle.com/dhruvmak/face-mask-detection Face Mask Classification Classify between Face with mask and no mask www.kaggle.com ipynb file : github.com/sangHa0411/DataScience/blob/main/mask_Classification_SVM.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com 저번에는 화장을 하였는가 하지 않았는가를 적은 수의 데이터를 데이터 증식을 통해서 CNN을 학습시키고 ..

데이터 출처 : www.kaggle.com/lodetomasi1995/income-classification Income classification Prediction task is to determine whether a person makes over 50K a year. www.kaggle.com Ipynb File : github.com/sangHa0411/DataScience/blob/main/Income_Prediction_Part2.ipynb sangHa0411/DataScience Contribute to sangHa0411/DataScience development by creating an account on GitHub. github.com Part2 에서는 Logistic Regre..