Cardiovascular Risk Prediction - Classification
-
Updated
Aug 3, 2023 - Jupyter Notebook
#
imbalanced-dataset
Here are 12 public repositories matching this topic...
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.
python machine-learning random-forest svm exploratory-data-analysis data-transformation model-selection naive-bayes-classifier xgboost classification recall logistic-regression preprocessing feature-engineering knn data-cleaning precision model-evaluation f1-score imbalanced-dataset
-
Updated
Jun 4, 2023 - Jupyter Notebook
Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
python machine-learning sklearn imbalanced-dataset smote-sampling oversampling-technique undersampling-technique
-
Updated
Aug 29, 2023 - Jupyter Notebook
Developing a Classification Model for Predicting Credit Card Default
-
Updated
May 25, 2022 - Jupyter Notebook
Does the amount of screen time a person spends at age 16 affect their levels of depression and anxiety at age 18?
-
Updated
May 5, 2022 - Jupyter Notebook
DAEB-τSS3: Imbalanced Social Media Text Depression Detection Method
natural-language-processing ensemble-learning depression-detection imbalanced-dataset social-media-text-data
-
Updated
Apr 15, 2023 - Python
2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석
numpy sklearn pandas seaborn matplotlib statsmodels eli5 feature-importance imbalanced-dataset stroke-prediction
-
Updated
Feb 17, 2024 - Jupyter Notebook
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
python tensorflow keras quantization emotion-recognition qat ckplus facial-emotion-recognition scale-down googlecolab efficientnet imbalanced-dataset quantization-aware-training post-training-quantization efficientnetv2 ptq real-time-emotion-classification real-time-emotion-detection efficientnetv2-b2
-
Updated
May 4, 2024 - Jupyter Notebook
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
deep-learning binary keras binary-classification imbalanced-data catvsdog explainable-ai explainable-ml catvsdog-classifier gridsearch fairness-ai shap fairness-ml tensorflow2 efficientnet imbalanced-dataset efficientnetv2 efficientnetv2-b0
-
Updated
May 4, 2024 - Jupyter Notebook
OBEBS method
-
Updated
Jul 11, 2022 - Jupyter Notebook
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
exploratory-data-analysis cross-validation data-visualization feature-selection naive-bayes-classifier xgboost hyperparameter-optimization feature-engineering knn model-evaluation model-building feature-importance label-encoding smotetomek numerical-encoding ordinal-encoding correlation-map imbalanced-dataset
-
Updated
May 9, 2020 - Jupyter Notebook
A machine learning project on an imbalanced credit card data that detects fraudulent transactions.
-
Updated
Aug 29, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the imbalanced-dataset topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the imbalanced-dataset topic, visit your repo's landing page and select "manage topics."