GitHub topics: adasyn-sampling
rohitdwivedula/enzyme-classification
Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.
Language: Python - Size: 76.8 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 2

Haricharan0311/Hepatoma-Staging-Project
Scripts and figures as a part of an ongoing research initiative for Advancing Hepatocellular Carcinoma Staging and Prognosis
Language: Jupyter Notebook - Size: 4.59 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ggjay9/Application-Flow-Identification
Classify applications using flow features with Random Forest and K-Nearest Neighbor classifiers. Explore augmentation techniques like oversampling, SMOTE, BorderlineSMOTE, and ADASYN for better handling of underrepresented classes. Measure classifier effectiveness for different sampling techniques using accuracy, precision, recall, and F1-score.
Language: Jupyter Notebook - Size: 90.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/Assignment_SVM_Forest_Fire_Prediction
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MoinDalvs/Assignment_Decision_Tree_2
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

iliodipietro/Wine_Quality_Prediction
thesis for Mathematics in Machine Learning course at @Politecnico di Torino.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
