29:11

#47 K - Nearest Neighbors Implementation in R | Data Science for Engineers

31:20

#48 K - means Clustering | Data Science for Engineers

21:14

#49 K - means Implementation in R | Data Science for Engineers

06:20

#50 Data Science for Engineers - Summary | Data Science for Engineers

26:25

#46 K - Nearest Neighbors (kNN) | Data Science for Engineers

14:47

#40 Multiple Linear Regression Modelling Building & Selection | Data Science for Engineers

19:20

#41 Classification | Data Science for Engineers

32:50

#44 Performance Measures | Data Science for Engineers

18:37

#43 Logisitic Regression | Part 2 | Data Science for Engineers

20:53

#45 Logistic Regression Implementation in R | Data Science for Engineers

29:22

#42 Logisitic Regression | Part 1 | Data Science for Engineers

23:08

#39 Cross Validation | Data Science for Engineers

23:45

#31 Module :Predictive Modelling | Data Science for Engineers

13:33

#37 Simple Linear Regression Model Assessment | Part 2 | Data Science for Engineers

39:04

#38 Multiple Linear Regression | Data Science for Engineers

11:52

#35 Simple Linear Regression Model Building | Data Science for Engineers

35:42

#33 Model Assessment | Data Science for Engineers

41:03

#32 Linear Regression | Data Science for Engineers

08:45

#36 Simple Linear Regression Model Assessment | Part 1 | Data Science for Engineers

29:10

#34 Diagnostics to Improve Linear Model Fit | Data Science for Engineers

34:41

#30 Solving Data Analysis Problems - A Guided Thought Process | Data Science for Engineers

44:54

#28 Multivariate Optimization With Inequality Constraints | Data Science for Engineers

41:57

#29 Introduction to Data Science | Data Science for Engineers

30:50

#27 Multivariate Optimization With Equality Constraints | Data Science for Engineers

24:00

#26 Gradient(Steepest) Descent & Learning Rule | Data Science for Engineers

29:57

#24 Unconstrained Multivariate Optimization | Part 1 | Data Science for Engineers

18:35

#25 Unconstrained Multivariate Optimization | Part 2 | Data Science for Engineers

39:43

#23 Optimization for Data Science | Data Science for Engineers

25:04

#19 Statistical Modelling | Data Science for Engineers

33:54

#21 Sample Statistics | Data Science for Engineers

37:21

#22 Hypotheses Testing | Data Science for Engineers

28:22

#20 Random Variables & Probability Mass/Density Functions | Data Science for Engineers

33:42

#17 Linear Algebra: Distance, Hyperplanes, Eigenvalues & Eigenvectors | Part 2

28:43

#12 Linear Algebra for Data science | Data Science for Engineers

24:17

#18 Linear Algebra: Distance, Hyperplanes, Eigenvalues & Eigenvectors | Part 3

33:17

#15 Linear Algebra: Distance, Hyperplanes, Eigenvalues & Eigenvectors | Data Science for Engineers

24:33

#14 Solving Linear Equations | Part 2 | Data Science for Engineers

24:34

#13 Solving Linear Equations | Part 1 | Data Science for Engineers

28:32

#16 LinearAlgebra:Distance,Hyperplanes,Eigenvalues&Eigenvectors|Part 1|Data Science for Engineers

10:38

#1 Data Science for Engineers: Course Philosophy & Expectations

16:17

#5 Data Frames | Data Science for Engineers

08:15

#11 Data Visualization in R Basic Graphics | Data Science for Engineers

20:58

#6 Recasting & Joining of Dataframes | Data Science for Engineers

12:23

#9 Advanced Programming in R:Functions | Part 2 | Data Science for Engineers

08:31

#8 Advanced Programming in R:Functions | Part 1 | Data Science for Engineers

15:38

#4 Variables & Datatypes in R | Data Science for Engineers

12:39

#10 Control structures | Data Science for Engineers

22:01

#7 Arithmetic,Logical & Matrix Operations in R | Data Science for Engineers

11:17

#2 Introduction to R | Part I | Data Science for Engineers

09:17

#3 Introduction to R | Part II | Data Science for Engineers

10:35

Data Science for Engineers - Introduction