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Data Science for Engineers IITM @[email protected]

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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