15:40

How to implement seasonal forecasting in R

15:54

How to implement forecasting for datasets with trend and seasonality

20:38

Regression on Large Datasets

06:10

How to create a very simple function in R

05:09

How to create a simple function in R with logical conditions

14:08

How to make a rock, paper, and scissors game in R

23:03

How to implement Moving Average Forecasting in R

14:48

How to Implement Constant Method of Forecasting in R

14:10

How to solve an Integer Programming Problem using Cutting-Plane Method

16:52

Unsupervised Learning: A simple example for Hierarchical Clustering

07:26

Dual Programming Part 3: Writing the Dual Programming of a Linear Programming Problem

12:27

Dual Programming Part 2: How to write the dual programming of a linear programming problem

12:25

Dual Programming Part 1: Relationship between the Primal and Dual LP's

06:01

Example- Confidence Interval and Hypothesis Testing for Two Population Averages

07:15

The one-sided confidence interval and hypothesis testing for two population averages

10:33

Two-sided Confidence Interval and Test of hypothesis for the two population averages

05:59

Sampling Distribution for the Difference Between the two Population Averages

08:34

Sampling Distribution and Central Limit Theorem

04:03

How to find critical Z value (Z alpha)

03:33

Part 3- Von Neumann-Morgenstern Expected Utility Axioms

12:50

Part4-How to calculate Risk premium and insurance premium using utility function

03:53

Part5-Simple example on how to use utility function for decision making

11:28

Part 6-Decision making under uncertainty using Decision tree and utility functions

06:21

Part2- How to develop a Utility function using equivalent lotteries

14:20

Part1-How to develop a utility function using equivalent lotteries

18:15

How to Develop a Piecewise Linear Regression Model in R

12:14

How to Create a Categorical Regression Model in R

11:11

How to create a Quadratic Regression Model in R

11:08

Definition of basic and nonbasic variables in simplex method

16:49

How to solve an Integer Linear Programming Problem Using Branch and Bound

15:17

Unsupervised Learning: Introduction to K-mean Clustering

09:16

How K-mean clustering groups data-: A Simple Example

12:18

How to Solve an Assignment Problem Using the Hungarian Method

08:33

Multiple Linear Regression Model in R

11:43

How to calculate Regression R-sqaured, SST, SSR and SSE

24:55

How to run a simple linear regression model in R

09:14

Sensitivity Analysis: Changing the Objective Function Coefficient of a Basic Variable: Part 2-2

04:18

Special Cases of Linear Programming Problem-Part 2: Unbounded Solution

08:51

Special Cases of Linear Programming Problems -Part 3: Alternative Solution

14:22

Special Cases of Linear Programming Problem-Part1:Degeneracy Condition

05:14

Sensitivity Analysis: Changing the Column of a non-basic variable:Part 2-4

08:45

Sensitivity Analysis: Adding a new activity (variable) : 2-5

14:00

Sensitivity Analysis: Adding a new constraint - Part 2-6

14:32

Sensitivity Analysis: Changing the Objective Function Coefficient of a NonBasic Variable: Part2-1

23:59

Sensitivity Analysis of a Linear Programming Problem - Part One- Simplex Matrix Math

23:31

How to Optimize a Transportation Problem

30:25

How to Find a BFS for a Transportation Problem, Northwest Corner, Min Cost and Vogel's

17:02

How to Solve a Linear Programming Problem Using the Two Phase Method

11:07

How to Solve a Linear Programming Problem Using the Dual Simplex Method

18:14

How to Solve a Linear Programming Problem Using the Big M Method

11:33

How to Solve a Linear System of Equations Using the Gauss Jordan Method

07:05

Elementary Row Operations (EROs)

14:03

How to Solve a Linear Programming Problem using the Simplex Method

11:49

How to Solve a Linear Programming Problem Using the Graphical Method

06:08

Definition of a Convex Set