機器學習技法-林軒田
Machine Learning Techniques by Hsuan-Tien Lin(2018)

此處紀錄了當初修習該課程之作業與上課檔案，希望讓日後處於苦海之學者受惠

老師的題目每年都有些許不同，而且抄襲抓很嚴。建議每題演算法都要自己想過，即使參考別人的程式碼也要知道背後的原理，這樣才能達到 Learning 的效果！

Final Project 請參考 repo final_project

祝各位學習順利

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
hw1		hw1
hw2		hw2
hw3		hw3
.DS_Store		.DS_Store
01_Linear Support Vector Machine.pdf		01_Linear Support Vector Machine.pdf
02_Dual SVM.pdf		02_Dual SVM.pdf
03_Nonlinear(Kernal) SVM.pdf		03_Nonlinear(Kernal) SVM.pdf
04_Soft SVM.pdf		04_Soft SVM.pdf
05_Logistic SVM (with kernel).pdf		05_Logistic SVM (with kernel).pdf
06_SVM Regression(non in 2018).pdf		06_SVM Regression(non in 2018).pdf
07_Blending and Bagging.pdf		07_Blending and Bagging.pdf
08_Adaptive Boosting.pdf		08_Adaptive Boosting.pdf
09_Decision Tree.pdf		09_Decision Tree.pdf
10_Random Forest.pdf		10_Random Forest.pdf
11_Gradient Boosted Decision Tree.pdf		11_Gradient Boosted Decision Tree.pdf
12_Neural Network.pdf		12_Neural Network.pdf
README.md		README.md

pcchencode/Machine_Learning_Techniques