OBEBS method
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Updated
Jul 11, 2022 - Jupyter Notebook
OBEBS method
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
A machine learning project on an imbalanced credit card data that detects fraudulent transactions.
2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
Developing a Classification Model for Predicting Credit Card Default
Predict CHD Risk with Precision: This machine learning model analyzes patient demographics, behaviors, and medical factors to accurately predict the likelihood of developing coronary heart disease within the next 10 years.
Does the amount of screen time a person spends at age 16 affect their levels of depression and anxiety at age 18?
DAEB-τSS3: Imbalanced Social Media Text Depression Detection Method
Cardiovascular Risk Prediction - Classification
Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
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