Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

[Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Fault diagnosis using focus loss function based on balance factor (two-category)

Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.

Toy-project, unbalanced data, classification pipeline for multiple classifiers and parameters tuning.

Code for dealing with undersampling and oversampling which are standard strategies for dealing with unbalanced class data

Insurance reports through deep neural networks

Comparative ML workflow applied to Balanced (SPAM) and Unbalanced (Diabetes) datasets with focus on missing values and class imbalance.

Разработка алгоритма привлечения новых клиентов банка