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. kaggle competition Top 47%
hw2: Income Classification using logistic regression and other machine learning approaches. kaggle competition Top 4%
hw3: Image Sentiment Classification using convolutional neural networks. kaggle competition Top 28%
hw4: Text Sentiment Classification using word embedding and recurrent neural networks.* kaggle competition Top 10%   hw5: Movie Recommendation using matrix factorization. kaggle competition Top 11%
hw6: Dimension Reduction and Clustering using PCA and KMeans clustering. kaggle competition Top 7%

Python 3.5.3 tensorflow 1.3.0 Keras 2.0.8 scikit-learn 0.19.0 and others