ML2017FALL

Lecturer: Prof. Hung-yi Lee
Course website: http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML17_2.html

Repo. content

1. Predict PM2.5 using linear regression. [link] [kaggle]. Top28%

2. Predict income using logistic regression and gradient boosting tree. [link] [kaggle]. Top1%

3. Image sentiment classification using convolutional neural network (CNN). [link] [kaggle]. Top2%

4. Text sentiment classification using recurrent neural network (LSTM) [link] [kaggle]. Top1%

5. Predict movie ratings using Matrix factorization [link] [kaggle]. Top1%

6. Image clustering (unsupervised learning) [link] [kaggle]. Top2%

[Final] Listen and Translate (ASR+translation) [link] [Kaggle].Top6%