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Machine Learning (EE 5184) in NTU

Home Page: http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML17_2.html

License: Apache License 2.0

Python 0.37% Shell 0.01% Jupyter Notebook 99.63%

ml2017fall's Introduction

ML2017FALL

hw1: Predict PM2.5 using linear regression. kaggle competition. Top28%

hw2: Predict income using logistic regression and gradient boosting tree. kaggle competition. Top1%

hw3: Image sentiment classification using convolutional neural network (CNN). kaggle competition. Top2%

hw4: Text sentiment classification using recurrent neural network (LSTM) kaggle competition. Top1%

hw5: Predict movie ratings using Matrix factorization kaggle competition. Top1%

hw6: Image clustering (unsupervised learning) kaggle competition. Top2%

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

ml2017fall's People

Contributors

mhfu0 avatar thtang avatar

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