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README.md

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-# ML2017
+# Machine Learning, 2017 Spring
+
+This course is Machine Learning from National Taiwan University Department of Electrical Engineering instructed by Professor Hung-Yi, Lee in spring 2017.
+
+- *Predict PM2.5* using linear regression.
+[kaggle competition](https://inclass.kaggle.com/c/ml2017-hw1-pm2-5).
+
+- *Predict income* using logistic regression.
+[kaggle competition](https://inclass.kaggle.com/c/ml2017-hw2).
+
+- *Image sentiment classification* using convolutional neural network (CNN).
+[kaggle competition](https://inclass.kaggle.com/c/ml2017-hw3).
+
+- *Dimensionality reduction*.
+[kaggle competition](https://inclass.kaggle.com/c/ntu-ml2017-spring-hw4).
+
+- *Predict tags for each summary of a book* using recurrent neural network (RNN).
+[kaggle competition](https://inclass.kaggle.com/c/ml2017-hw5).
+
+- *Predict movie ratings* using SVD.
+[kaggle competition](https://inclass.kaggle.com/c/ml2017-hw6).