Project: Employee Attrition Predictor | SVM + SMOTE-ENN | Python | Scikit-learn
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Mar 11, 2026 - Jupyter Notebook
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smote-enn
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Use random forest, gradient boosting, neural network, with SMOTE-ENN and random over-sampling
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Feb 9, 2023 - Jupyter Notebook
Deep learning application for term deposit prediction on imbalanced dataset
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Sep 22, 2022 - Python
A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.
tensorflow naive-bayes credit-card-fraud logistic-regression k-means binary-classification f1-score resampling-methods k-nearest-neighbors adasyn random-undersampling light-gradient-boosting-machine near-miss smote-enn class-imbalance-handling random-oversampling balanced-bagging
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Dec 2, 2024 - Jupyter Notebook
Customer bookings predictive model
machine-learning random-forest naive-bayes prediction logistic-regression feature-importance gridsearchcv sgd-classifier smote-enn
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Sep 2, 2024 - Jupyter Notebook
ML approach to customer churn prediction in retail banking using Random Forest & Logistic Regression | Python · SMOTE-ENN · Scikit-learn | Top grade — FOM University 🏆
python machine-learning random-forest scikit-learn jupyter-notebook pandas banking classification churn-prediction smote-enn
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Updated
Mar 11, 2026 - Jupyter Notebook
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