1) Problem Identification in AI

13) Two Phases of Artificial Intelligence

16) Algorithms

17) Simple Linear Regression

20) Evaluation Metrics SSE,SSR,SST

21) R_Squared and AdjustedR_Square

22) The Purpose of Training and Test set

25) Hands-on-SLR

31) Multiple Linear Regression

33) Nominal and Ordinal

34) Hands-on-MLR

36) SVM

37) Standard

38) ML-Secret

39) Hands-on-SVM

40) Decision Tree

41) Hands-On Decision Tree

42) Random Forest

43)Hands-on-RF

45) Regression Assignment