Machine-Learning-Projects

1. Predicting Up and Down Probability of Equity Index by Technical Indicators: Demostrate the idea to using TI as input of predictive models

2. Anormaly email detection by unspuervised learning approach (with BERT): Demostrate to use BERT pre-trained model to replace traditional feature engineering and how to deal with zero fraud dataset

3. Speech emotion detection by TRILL pre-trained model: Demostrate the feasibility of using pre-trained model by Google to distill features of a speech to detect speaker emotion

4. Chineses Name Entity Recognition (NER) by SpaCy: Demostrate to use SpaCy for Name Entity recognition from Chinese passage