/ML2017FALL

ML Works in NTU machine learning (EE5184) 2017 fall

Primary LanguageJupyter Notebook

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%