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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

Language: Jupyter Notebook - Size: 5.58 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

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