曹佳炯 21531076

Polynomial-Regression

polynomial regression for single variable
I use 2 methods.

1. Gradient descent
   The code includes main.py and Regression.py.
2. Directly solving the matrix equation by least quare
   The code includes LSmain.py and LSRegression.py.
3. I also use functions in lib to run the expriment. The code is Polyfit&&Lasso.py.

Since I use small group of data, so the second method is better and I put my results here

1. Degree=3 Sample=10 Lamda=0
   
2. Degree=9 Sample=10 Lamda=0
   
3. Degree=9 Sample=15 Lamda=0
   
4. Degree=9 Sample=100 Lamda=0
   
5. Degree=9 Sample=10 Lamda=exp(-15)
   

You can see results for other methods in the /results folder.