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@@ -29,7 +29,8 @@ Combined NLP, machine learning and actuarial methods/knowledge to predict the wo
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Utilised ChatGPT API to create simple chatbot aimed at chatting with kids who only know simple English, with features to tell kids about their typos and provide Chinese translation. A 5-year-old kid successfully chatted with the chatbot for a while.
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- [Diabetes Classification](https://github.com/chihangs/diabetes_classification)
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Used random forest, gradient boosting, neural network with SMOTE-ENN and random over-sampling to classify diabetes or not.
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- [Diabetes Classification](https://github.com/chihangs/diabetes_classification)
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- [Object Detection by Instance Segmentation](https://github.com/chihangs/INM705)
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Mask R-CNN model was used for Microsoft COCO dataset. Achieved higher average precision than original paper by specialising on object detection of aircrafts and birds only. (NB: could also be due to easier classes than average but not ascertained and out of scope.)
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