The repository is made to keep my works for the course: Machine Learning (2017 Fall), held by Prof. Hung-Yi Lee, National Taiwan University.
Learning the basic theory of machine learning and various applications.
- hw0: Python prerequisite testing
- hw1: PM2.5 Prediction using (linear) regression with gradient descent optimization.
- hw2: Income (Binary) Classification using logistic regression and other machine learning approaches.
- hw3: Image Sentiment Classification using convolutional neural networks.
- hw4: Text Sentiment Classification using word embedding and recurrent neural networks.
- hw5: Movie Recommendation using matrix factorization.
- hw6: Dimension Reduction and Clustering using PCA and KMeans clustering.
Python 3.5.3
tensorflow 1.3.0
Keras 2.0.8
scikit-learn 0.19.0
and others