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ml2017fall's Introduction

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. kaggle competition. Top28%

  2. Predict income using logistic regression and gradient boosting tree. kaggle competition. Top1%

  3. Image sentiment classification using convolutional neural network (CNN). kaggle competition. Top2%

  4. Text sentiment classification using recurrent neural network (LSTM) kaggle competition. Top1%

  5. Predict movie ratings using Matrix factorization kaggle competition. Top1%

  6. Image clustering (unsupervised learning) kaggle competition. Top2%

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

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