smote topic
Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
smogn
Synthetic Minority Over-Sampling Technique for Regression
smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
spark_data_mining
spark tutorial for big data mining。包括app流量运营分析、als推荐、smote样本采样、RFM客户价值分群、AHP层次分析客户价值得分、手机定位数据商圈挖掘、马尔可夫智能邮件预测、时序预测、关联规则、推荐电影好友...
Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
Deep-Learning-Experiments-implemented-using-Google-Colab
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
Class-Imbalance
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
imbalance_class_sklearn
Address imbalance classes in machine learning projects.