HW1 added:

1. Linear Regression on LIBSVM Data.
2. Cross Validation use sklearn.
3. Ridge Regression. (how to choose lamda)
4. Logistic Regression.(vectorization in numpy, important!)

HW2 added:

1. 1-nn multiprocess.
2. Logistics multiprocess.
3. python pool.

HW3 added:

1. k-means

1. logistic regression.
2. SVM with different kernels.
3. Neural Networks with tensorflow.
4. Basic Practice with XGBoost.