$ pip3 install numpy scipy matplotlib sklearn statsmodels patsy seaborn pandas glmnet_py pydot Pillow jupyter
2.3 Introduction to R ==> Crash course on Python and Jupyter notebook
3.6 Linear regression
4.6 Logistic Regression, LDA, QDA, and KNN
5.3 Cross-Validation and the Bootstrap
6.5 Lab 1: Subset Selection Methods
6.6 Lab 2: Ridge Regression and the Lasso
6.7 Lab 3: PCR and PLS Regression
7.8 Non-linear Modeling
8.3 Lab: Decision Trees
9.6 Support Vector Machines
10.4 Lab 1: Principal Components Analysis
10.5 Lab 2: Clustering
10.6 Lab 3: NCI60 Data Example
-
Data sets are here
-
You can clone this repository by typing
git clone [email protected]:ys7yoo/pattern-recognition.git