Data Mining & Machine Learning

Code Repository for the undergraduate tutorials of data mining & machine learning of Shanghai Business School (SBS)

Ch1. Mathematical & Programming Basis

Ch2. Linear Regression

Ch3. Logistic Regression

Ch4. Decision Tree

Ch5. Random Forest & Ensmeble Learning

Mid Test (Data Preprocessing Techniques)

Ch6. Demension Reduction & PCA

Ch7. Kernel Method & SVM

Ch8. Pattern Mining

References

1. Data Mining and Analysis: Fundamental Concepts and Algorithms. Zaki & Meira Jr.
2. Pattern Recognition & Machine Learning. Bishop.
3. Machine Learning: A Bayesian & Optimziation Perspective 2nd. Theodoridis.
4. 机器（统计）学习方法. 李航.
5. 机器学习算法入门与编程实践. 唐四薪.
6. Python数据挖掘与机器学习实战. 方巍.
7. Python设计模式. Chetan, Ciridhar.

Authors

MinuxAE & MinuxGeeK (MLY) on DELL & MECHREVO