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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