Machine Learning Project Implementation

1. PM2.5 Prediction : https://ntumlta2018.github.io/ml-web-hw1/
   • linear regression
2. Income Prediction : https://ntumlta2018.github.io/ml-web-hw2/
   • Make over 50K a year or not
   • ADULT dataset
   • binary classification
   • logistic regression
   • probabilistic generative model
3. Image Sentiment Classification : https://ntumlta2018.github.io/ml-web-hw3/
   • CNN model
   • confusion matrix
   • saliency map
   • gradient ascent
4. PCA of colored faces & Image clustering : https://ntumlta2018.github.io/ml-web-hw4/
   • dimension reduction (SVD & eigen)
   • data augmentation
   • unsupervised learning
   • ensemble learning
   • auto-encoder
   • t-SNE visualization
   • K-means
5. Text Sentiment Classification : https://ntumlta.github.io/2017fall-ml-hw4/
   • twitter dataset
   • RNN model / BoW
   • word embedding
   • Semi-Supervised learning
6. Movie Recommendation : https://ntumlta.github.io/2017fall-ml-hw5/
   • Predict missing values
   • Matrix Factorization
   • t-SNE