SLV Final Exam0. SLV General →1 Resources - 考前必打开网页 →1.1 SLV Course Homepage - Example Codes →1.2 ChatGPT - Answers →1.3 Example Exam - Question Types, For Review →1.4 Cheatsheets →2. Exam Questions →2.1 Theoretical - Data Visualization →2.2 Theoretical - Improving Plot, Explaining →2.3 Theoretical - Energy Prediction →2.4 Practical - Decision Rule →2.5 Practical - LASSO →3. Content →3.1 Data Wrangling - 数据类型，新建，摘要 →3.2 Graphics - 绘图 →3.3 EDA - 查看、探索数据 →3.4 Linear Regression - CI, MSE, Split, Cross Validation →3.5 Classification - KNN, Confusion Matrix, LR, LDA (Used For Predicting Categorical Variables) →3.6 Classification Evaluation - Confusion Matrix, LR, LDA, Classification Trees, Random Forest →3.7 Nonlinear Regression - Prediction Plot, Poly →3.8 Ensemble Methods - Bagging, RF, Boosting, Xgboost →