Section2 Machine Learning

Section2 Sprint3 Note 234 PDP, SHAP, Interpreting ML Model 2022.03.15

Section2 Sprint3 Note233 Bagging, Boosting, Feature Importances 2022.03.14

Section2 Sprint3 Note231,232 ML Problems and Data Wrangling 2022.03.11

Section2 Sprint2 Note224 Cross Validation 과 Hyper Parameter Tuning 2022.03.07

Section2 Sprint2 Note 223 Confusion Matrix, ROC curve, AUC 2022.03.04

Section2 Sprint2 Note222 Random Forest, Various Encoder 2022.03.03

Section2 Sprint2 Note221 Decision Trees, Imputers 2022.03.02

Section2 Sprint1 Note 214 Logistic Regression, Validation set, Scaler 2022.02.25

Section2 Sprint1 Note 213 Ridge Regression, Select Best Number of K Features 2022.02.24

Section2 Sprint1 Note 212 Multiple Linear Regression 2022.02.23

Section2 Sprint1 Note 211 Simple Linear Regression 2022.02.22