09-13-2024, 08:57 AM
![[Image: 359020115_tuto.jpg]](https://img87.pixhost.to/images/599/359020115_tuto.jpg)
19.14 GB | 00:12:27 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Overview of R Programming (42.92 MB)
10 Matrix Continues (54.76 MB)
11 What is List (57.17 MB)
12 What is List Continues (38.19 MB)
13 Data Frame in R (60.26 MB)
14 Data Frame in R Sub Clip (33.62 MB)
15 Decision Making (57.19 MB)
16 Conditional Statements (83.52 MB)
17 Loops in R (43.08 MB)
18 Implementing Loop with Practical Examples (61.04 MB)
19 While Loop (42.67 MB)
2 Downloading and Installing R Studio (25.46 MB)
20 Break Statement (70.96 MB)
21 Functions (63.76 MB)
22 Alternative Loops (51.21 MB)
23 Alternative Loops Continue (65.4 MB)
24 User Define Function (69.47 MB)
25 Power of GGPLOT (12.18 MB)
26 GGPLOT 2 Visuals (48.99 MB)
27 Use of Function (62.39 MB)
3 How to use R Studio (42.77 MB)
4 How to use R Studio Continues (59.03 MB)
5 R Studio Basics (12.49 MB)
6 Basic Data Type R (54.71 MB)
7 Vectors (55.37 MB)
8 More on Vector (59.37 MB)
9 Matrix (52.24 MB)
1 Introduction and Importing Dataset (55.6 MB)
10 Saving Model in R (89.02 MB)
11 Fitting Decision Tree Model (60.28 MB)
12 Fitting Decision Tree Model Continue (61.37 MB)
13 Prediction of Decision Tree and Model Performance (40.18 MB)
2 IV Calculation (61.9 MB)
3 Plotting Variables (58.33 MB)
4 Splitting (71.3 MB)
5 Building Logistic Model (63.52 MB)
6 Making Optimal Model (96.77 MB)
7 Making Lift Chart for Training Set (116.84 MB)
8 Checking Model Performance (79.82 MB)
9 Model Performance in Test Set (83.73 MB)
1 Overview and History of R (77.5 MB)
10 ReadingData-1 (29.64 MB)
11 ReadingData-2 (12.28 MB)
12 ReadingData-3 (41.25 MB)
13 ReadingData-4a (47.67 MB)
14 ReadingData-4b (48.81 MB)
15 Debugging-1 (30.51 MB)
16 ControlStructures (54.87 MB)
17 Functions Part 01 (34.08 MB)
18 Functions Part 02 (31.5 MB)
19 ScopingRules1 Part 01 (47.97 MB)
2 Datatypes and Basic Operations - Part1 1 part 01 (25.98 MB)
20 ScopingRules1 Part 02 (32.75 MB)
21 ScopingRules2 (46.39 MB)
22 Looping1 (46.67 MB)
23 Looping2 (39.06 MB)
24 Looping3 (41.22 MB)
25 Simulation part-1 (30.63 MB)
26 Simulation part-2 (38.21 MB)
27 Plotting1 (63.09 MB)
28 Plotting2 (52.01 MB)
29 Plotting3 part-1 (37.88 MB)
3 Datatypes and Basic Operations - Part1 1 part 02 (21.98 MB)
30 Plotting3 part-2 (33.78 MB)
31 Plotting4 (27.86 MB)
32 Plotting5 (39.29 MB)
33 Plotting Colors 1 (28.28 MB)
34 Plotting Colors 2 (31.06 MB)
35 Date and TimePart1and 5 Date and TimePart2 (44.41 MB)
36 Date andTimePart3 (31.05 MB)
37 RegEx1 (31.78 MB)
38 RegEx2 (52.16 MB)
39 RegEx3 part-1 (30.18 MB)
4 Datatypes and Basic Operations - Part1 2 Part 01 (28.25 MB)
40 RegEx3 part-2 (36.41 MB)
41 Classes and Methods1 part-1 (50.28 MB)
42 Classes and Methods1 part-2 (19.08 MB)
43 Classes and Methods2 part-1 (35.66 MB)
44 Classes and Methods2 part-2 (35.25 MB)
45 Debugging Part2 (32 MB)
5 Datatypes and Basic Operations - Part1 2 Part 02 (24.02 MB)
6 Datatypes and Basic Operations - Part1 2 Part 03 part01 (26.83 MB)
7 Datatypes and Basic Operations - Part1 2 Part 03 part 02 summary (2.33 MB)
8 Datatypes and Basic Operations - Part2 1 (39.23 MB)
9 Datatypes and Basic Operations - Part2 2 (20.21 MB)
1 Introduction to Minitab (29.83 MB)
10 Scatter plots (22.42 MB)
11 Box Plot (21.98 MB)
12 Discrete Random Variable (64.55 MB)
13 Binomial Distribution (48.57 MB)
14 Normal Distribution (53.39 MB)
15 Normality Test (41.26 MB)
16 Data Transformation (41.38 MB)
17 Sampling and Sample Size (42.11 MB)
18 Sample Size for Estimation (58.07 MB)
19 Parameter Estimation (52.3 MB)
2 Types of Data (50.96 MB)
20 Power Analysis (72.24 MB)
21 Measurement System Analysis (53.2 MB)
22 MSA Gage R and R (26 MB)
23 MSA Attribute Agreement Analysis (75.49 MB)
24 Process Capability Analysis (70.26 MB)
25 Hypothesis Testing (70.45 MB)
26 Hypothesis Testing Mean (52.63 MB)
27 Paired-T Test (52.04 MB)
28 Anova (39.37 MB)
29 Pareto Analysis (55.17 MB)
3 Measure of Dispersion (19.37 MB)
30 Correlation (45.7 MB)
31 Regression (35.07 MB)
32 Regression Continue (75.85 MB)
33 Control Charts (82.35 MB)
34 P-Chart (70.89 MB)
4 Descriptive Stats (69.01 MB)
5 Data Sorting (41.53 MB)
6 Histograms (33.06 MB)
7 Pie Charts (61.54 MB)
8 Bar Charts (32.55 MB)
9 Line Graphs (22.75 MB)
1 Introduction of Predictive Modeling (101.41 MB)
10 Customer Complaints-Observations (55.87 MB)
100 Generating Outputs (62.32 MB)
101 Example Five Interpretations (66.99 MB)
102 Situations Income (96.06 MB)
103 Scatterplot (84.74 MB)
104 Scatter Plot Scale (62.83 MB)
105 Using Data Analysis Toolpak (46.19 MB)
106 Implementation of Descriptive Statistics (75.57 MB)
107 Descriptive statistics - Input Range (65.6 MB)
108 Implementation of ANOVA (48.33 MB)
109 Implementation of T - Test (46.27 MB)
11 Resting Heart Rate Observations (50.61 MB)
110 Implementation Using Correlation (81.54 MB)
111 Implementation Using Regression (99.15 MB)
12 Results for Loan Applicant MTW (58.6 MB)
13 More Details on Results for Loan Applicant MTW (58.78 MB)
14 Features of T- Test (60.78 MB)
15 Loan Applicant (39.73 MB)
16 Paired T - Test (41.1 MB)
17 Understanding and Implementation of ANOVA (74.52 MB)
18 Pairwise Comparisons (61.18 MB)
19 Features of Chi - Test (72.8 MB)
2 Non Linear Regression (97.35 MB)
20 Preference and Pulse Rate (73.05 MB)
21 Diffe btw Growth Plan ad Dividend Plan in MF (55.4 MB)
22 Checking NAV Price and Repurchase Price (43.98 MB)
23 Basic Correlation Techniques (49.5 MB)
24 More on Basic Correlation Techniques (43.42 MB)
25 CT Implementation Using Minitab (65.59 MB)
26 Continue on Implemetation using Minitab (20.96 MB)
27 Interpretation of Correlation Values (40.68 MB)
28 Results for Return (66.31 MB)
29 Correlation Values - Observations (42.34 MB)
3 Anova and Control Charts (85.86 MB)
30 Correlation Values - Interpretations (53.12 MB)
31 Heart Beat - Objective (34.4 MB)
32 Heart Beat - Interpretation (37.35 MB)
33 Demographics and Living Standards (41.05 MB)
34 Demographics and Living Standards - Observation (41.05 MB)
35 Graphical Implementation (69.19 MB)
36 Add Regression Fit (75.63 MB)
37 Scatterplot with Regression (50.69 MB)
38 Scatterplot of Rhdeq vs Rhcap (41.64 MB)
39 Introduction to Regression Modeling (59.64 MB)
4 Understanding, Interpretation and implementation using Minitab (104.08 MB)
40 Identify Independent Variable (59 MB)
41 Regression Equation (54.41 MB)
42 Tabulating the Values (40.45 MB)
43 Interpretation and Implementation on Data Sets (54.48 MB)
44 Continue on Interpretation on Database (61.88 MB)
45 Significant Variable (46.5 MB)
46 Calculating Corresponding Values (61.72 MB)
47 Identify Dependent Variable (56.96 MB)
48 Generate Descriptive Statistics (58.42 MB)
49 Scatterplot of Energy Consumption (43.18 MB)
5 Continue on Interpretation and implementation using Minitab (79.09 MB)
50 Identity Equation (52.27 MB)
51 P - Value and T - Value (47.63 MB)
52 Changes in Tem and Expansion (65.02 MB)
53 Objective of Stock Prices (65.76 MB)
54 Interpretations of Example 5 (57.37 MB)
55 Reliance Return Change (67.83 MB)
56 Generate Predicted Values (56.39 MB)
57 Scatterplot Return RIL (57.89 MB)
58 Basic Multiple Regression (61.84 MB)
59 Basic Multiple Regression Continues (53.66 MB)
6 Observation (94.83 MB)
60 Basic Multiple Regression - Interpretation (61.85 MB)
61 Generate Basic Statistics (47.03 MB)
62 Working on Scatterplot (26.74 MB)
63 Dependent Variable Objective (70.84 MB)
64 Concept of Multicollinearity (52.88 MB)
65 Identify Dependent Variable Y (79.75 MB)
66 Outputs and Observation (73.25 MB)
67 Interpretations - Example 3 (73.4 MB)
68 Calculate with and without Flux (57.96 MB)
69 Scatterplot of Heart FLux Vs Insolation (46.16 MB)
7 Results for NAV Prices (32.97 MB)
70 Interpretation of Datasets (78.98 MB)
71 Implementation of Datasets (41.84 MB)
72 Example 4 Observations (58.99 MB)
73 Display Descriptive Statistics (47.52 MB)
74 Predicted Values Example 4 (74.09 MB)
75 Scatterplot of Example 4 (42.87 MB)
76 Calculating IV - Multiple Regression (59.91 MB)
77 Calculating Independent Multiple Regression (29.99 MB)
78 Understanding Basic Logistic Scatter Plot (76.84 MB)
79 Basic Logistic Scatter Plot Continues (63.74 MB)
8 NAV Prices - Observations (69.83 MB)
80 Generation of Regression Equation (73.94 MB)
81 Tabulated Values (54.4 MB)
82 Interpretation and Implementation on Dataset (70.9 MB)
83 Interpretation and Implementation on dataset Continues (53.4 MB)
84 Output and Observation - Tabulated Values (57.67 MB)
85 Business Metrics Example (40.08 MB)
86 Example Two and Three Interpretations (48.61 MB)
87 Regression Equation Group (43.04 MB)
88 Interpretation and Implementation of Scatter Plot (60.09 MB)
89 More on Implementation of Scatter Plot (44 MB)
9 Descriptive Statistics (47.72 MB)
90 Plastic Case Strength (69.25 MB)
91 Separate Equations (59.2 MB)
92 Generation of Predicted Values (76.45 MB)
93 Scatter Plot Strength Vs Temp (65.66 MB)
94 Data of Cereal Purchase (74.6 MB)
95 Children Viewed and RE (79.93 MB)
96 Predicted Values for Individual Customers (90.62 MB)
97 Income Independent Variable (65.15 MB)
98 Example of Credit Card Issuing (78 MB)
99 Example Five - Tabulated Values (71.3 MB)
1 Implementation using SPSS (97.95 MB)
2 Implementation using SPSS Continues (48.61 MB)
3 Importing Datasets in Text and CSV (55.23 MB)
4 Other Concepts of Understanding Mean SD (88.48 MB)
5 Software Menus (33.72 MB)
6 Understanding Mean Standard Deviation (81.2 MB)
7 Understanding User Operating Concepts (34.5 MB)
1 Introduction of SAS Enterprise Miner (75.33 MB)
10 Input Variable (85.68 MB)
11 Input Variable Continues (69.69 MB)
12 Values of R-Square (74.78 MB)
13 More on Variable Selection (61.09 MB)
14 Binary Target Variable (76.58 MB)
15 Variable and Effect Summary (66.83 MB)
16 Variable Selection - Variable ID's (85.58 MB)
17 Variable Frequency Table (96.43 MB)
18 Variable S - Updating Model Comparison (88.39 MB)
19 Run Data Partition Node (90.42 MB)
2 Select a SAS Table (97.43 MB)
20 Variable Selection - Fit Statistics (83.73 MB)
21 Understanding Transformation of Variables (88 MB)
22 Score Ranking Overlay Res (82.01 MB)
23 Update Transformation of Variables (72.48 MB)
24 Combination of Different Models (38.45 MB)
25 Properties of Neural Network (45.74 MB)
26 Analyzing the Output Variable (69.74 MB)
27 Combination of Regression Model (34.78 MB)
28 Combination - Result of Regression Node (61.74 MB)
29 Combination Iteration Plot (4.41 KB)
3 Creating Input Data Node (77.4 MB)
30 Subseries Plot (66.26 MB)
31 Creating Densemble Diagram (48.58 MB)
32 SAS Code (66.24 MB)
33 Decision Tree Model (52.55 MB)
34 Run and Upadate Decision Tree Model (49.09 MB)
35 Creating Dscore Node (39 MB)
36 DT - Resulf of Model Comparison (50.35 MB)
37 Leaf Statistics and Tree Map (48.55 MB)
38 Interactively Decision Trees (44.05 MB)
39 Result Node Data Partition (41.92 MB)
4 Metadata Advisor Options (63.3 MB)
40 Interactively Trees Window (51.3 MB)
41 Building a Decision Trees (46.93 MB)
42 Neural Network Model (41.18 MB)
43 Neural Network Model Output (52.55 MB)
44 Model Weight History (72.34 MB)
45 Neural Network - Final Weight (42.96 MB)
46 ROC Chart (47.94 MB)
47 Neural Network -Iteration Plot (54.79 MB)
48 Neural Network - SAS Code (64.18 MB)
49 Neural Network - Cumulative Lift (45.27 MB)
5 Add More Data Sources (96.67 MB)
50 Decision Processing (25.97 MB)
51 Results of Auto Neural Node (44.54 MB)
52 Run Model Comparison (43.51 MB)
53 DEX - Variable ID's (61.53 MB)
54 Average Square Error (41.71 MB)
55 Score Rating overlay - Event (33.55 MB)
56 Run Dmine Regression Node (38.61 MB)
57 Regression with Binary Target (39.56 MB)
58 Regression - Table Effect Plots (41.19 MB)
59 Result of Regression Model (51.54 MB)
6 Sample Statistics (93.15 MB)
60 Update Regression Node (52.65 MB)
61 Creating Flow Diagram (45.68 MB)
7 Trial report (71.21 MB)
8 Properties of Cluster Node (62.92 MB)
9 Variable Selection (57.07 MB)
1 What is Predictive Modelling (7.6 MB)
10 What is Time Series (44.65 MB)
11 Smoothing Methods - Moving Averages (33.16 MB)
12 Smoothing Methods - Double Exponential Smoothing (37.05 MB)
13 Regression Algorithms - Exponential (45.03 MB)
14 Clustering Algorithms - Definition (26.2 MB)
15 Clustering Algorithms - Fuzzy C Means Clustering (50.69 MB)
16 Neural Network Algorithm (38.98 MB)
17 Support Vector Machines (52.13 MB)
2 Predictive Modelling (15.43 MB)
3 How to Build A Predicative Model (6.65 MB)
4 Types of Variables (4.02 MB)
5 Difference Between Variables (7.86 MB)
6 Other Types - Extraneous Variables (9.26 MB)
7 How to Build A Predicative Model Steps (19.23 MB)
8 Algorithms (3.93 MB)
9 Forecasting Methods (6.27 MB)
1 Introduction to Eview Training (68.12 MB)
10 Example of Interpretations (94.07 MB)
11 Volatility Graphs (77.28 MB)
12 Generating returns Interpretation and Graphs (71.43 MB)
13 Generating returns Interpretation Continues (71.37 MB)
14 Basic Correlation Theory (85.26 MB)
15 Generating Correlation Matrix in Eviews (70.09 MB)
16 Generating Correlation Matrix in Eviews Continues (65.68 MB)
17 Mutual Funds Correlation Matrix Percentage (73.04 MB)
18 Scatter Plots Using Eviews (83.9 MB)
19 Generating Correlation Matrix (82.45 MB)
2 Eviews GUI (27.7 MB)
20 Scatter Plots and Volatility Graphs (86.99 MB)
21 Generating Correlation Matrix and Interpretations (86.38 MB)
22 Generating Correlation Interpretations (66.9 MB)
23 Generating Correlation Interpretations Continues (46.24 MB)
24 Scatter Plots (89.83 MB)
25 Working on Scatter Plots (115.69 MB)
26 Basic Regression Modelling Theory (18 MB)
27 Generating Returns and Estimation Output (67.75 MB)
28 More on Generating Returns (41.83 MB)
29 Understanding Estimation Output (58.42 MB)
3 Eviews GUI Continues (36.51 MB)
30 Understanding Estimation Output Continues (48.33 MB)
31 Example of Interpretations (94.09 MB)
32 Generating Estimation Output (92.58 MB)
33 Interpretations and Volatility Scatter Plots (63.2 MB)
34 More on Volatility Scatter Plots (42.95 MB)
35 Estimation Output Interpretations and Graphs (65.94 MB)
36 Estimation Output Interpretations and Graphs Continues (67.28 MB)
37 Example 3 - NAV Price Study (63.12 MB)
38 Working on Volatility Graphs (58.4 MB)
39 Correlation Matrix (57.46 MB)
4 Generating Log Returns (67.21 MB)
40 Correlation Matrix Continues (85.97 MB)
41 Example 4 - Estimation Output (70.59 MB)
42 Basic Regression Modelling (60.94 MB)
43 Basic Regression Modelling Continues (54.32 MB)
44 Interpretations and Scatterplot Analysis (45.98 MB)
45 More on Scatterplot Analysis (49.97 MB)
46 Equation Estimation (69.64 MB)
5 Example of Descriptive (63.1 MB)
6 Interpretation and Graphs (52.33 MB)
7 Interpretation and Graphs Continues (52.19 MB)
8 Generating Log Returns and Descriptive (45.57 MB)
9 Generating Log Returns and Descriptive Continue (49.6 MB)
1 Overview of R Programming (42.92 MB)
10 Matrix Continues (54.76 MB)
11 What is List (57.17 MB)
12 What is List Continues (38.19 MB)
13 Data Frame in R (60.26 MB)
14 Data Frame in R Sub Clip (33.62 MB)
15 Decision Making (57.19 MB)
16 Conditional Statements (83.52 MB)
17 Loops in R (43.08 MB)
18 Implementing Loop with Practical Examples (61.04 MB)
19 While Loop (42.67 MB)
2 Downloading and Installing R Studio (25.46 MB)
20 Break Statement (70.96 MB)
21 Functions (63.76 MB)
22 Alternative Loops (51.21 MB)
23 Alternative Loops Continue (65.4 MB)
24 User Define Function (69.47 MB)
25 Power of GGPLOT (12.18 MB)
26 GGPLOT 2 Visuals (48.99 MB)
27 Use of Function (62.39 MB)
3 How to use R Studio (42.77 MB)
4 How to use R Studio Continues (59.03 MB)
5 R Studio Basics (12.49 MB)
6 Basic Data Type R (54.71 MB)
7 Vectors (55.37 MB)
8 More on Vector (59.37 MB)
9 Matrix (52.24 MB)
1 Introduction and Importing Dataset (55.6 MB)
10 Saving Model in R (89.02 MB)
11 Fitting Decision Tree Model (60.28 MB)
12 Fitting Decision Tree Model Continue (61.37 MB)
13 Prediction of Decision Tree and Model Performance (40.18 MB)
2 IV Calculation (61.9 MB)
3 Plotting Variables (58.33 MB)
4 Splitting (71.3 MB)
5 Building Logistic Model (63.52 MB)
6 Making Optimal Model (96.77 MB)
7 Making Lift Chart for Training Set (116.84 MB)
8 Checking Model Performance (79.82 MB)
9 Model Performance in Test Set (83.73 MB)
1 Overview and History of R (77.5 MB)
10 ReadingData-1 (29.64 MB)
11 ReadingData-2 (12.28 MB)
12 ReadingData-3 (41.25 MB)
13 ReadingData-4a (47.67 MB)
14 ReadingData-4b (48.81 MB)
15 Debugging-1 (30.51 MB)
16 ControlStructures (54.87 MB)
17 Functions Part 01 (34.08 MB)
18 Functions Part 02 (31.5 MB)
19 ScopingRules1 Part 01 (47.97 MB)
2 Datatypes and Basic Operations - Part1 1 part 01 (25.98 MB)
20 ScopingRules1 Part 02 (32.75 MB)
21 ScopingRules2 (46.39 MB)
22 Looping1 (46.67 MB)
23 Looping2 (39.06 MB)
24 Looping3 (41.22 MB)
25 Simulation part-1 (30.63 MB)
26 Simulation part-2 (38.21 MB)
27 Plotting1 (63.09 MB)
28 Plotting2 (52.01 MB)
29 Plotting3 part-1 (37.88 MB)
3 Datatypes and Basic Operations - Part1 1 part 02 (21.98 MB)
30 Plotting3 part-2 (33.78 MB)
31 Plotting4 (27.86 MB)
32 Plotting5 (39.29 MB)
33 Plotting Colors 1 (28.28 MB)
34 Plotting Colors 2 (31.06 MB)
35 Date and TimePart1and 5 Date and TimePart2 (44.41 MB)
36 Date andTimePart3 (31.05 MB)
37 RegEx1 (31.78 MB)
38 RegEx2 (52.16 MB)
39 RegEx3 part-1 (30.18 MB)
4 Datatypes and Basic Operations - Part1 2 Part 01 (28.25 MB)
40 RegEx3 part-2 (36.41 MB)
41 Classes and Methods1 part-1 (50.28 MB)
42 Classes and Methods1 part-2 (19.08 MB)
43 Classes and Methods2 part-1 (35.66 MB)
44 Classes and Methods2 part-2 (35.25 MB)
45 Debugging Part2 (32 MB)
5 Datatypes and Basic Operations - Part1 2 Part 02 (24.02 MB)
6 Datatypes and Basic Operations - Part1 2 Part 03 part01 (26.83 MB)
7 Datatypes and Basic Operations - Part1 2 Part 03 part 02 summary (2.33 MB)
8 Datatypes and Basic Operations - Part2 1 (39.23 MB)
9 Datatypes and Basic Operations - Part2 2 (20.21 MB)
1 Introduction to Minitab (29.83 MB)
10 Scatter plots (22.42 MB)
11 Box Plot (21.98 MB)
12 Discrete Random Variable (64.55 MB)
13 Binomial Distribution (48.57 MB)
14 Normal Distribution (53.39 MB)
15 Normality Test (41.26 MB)
16 Data Transformation (41.38 MB)
17 Sampling and Sample Size (42.11 MB)
18 Sample Size for Estimation (58.07 MB)
19 Parameter Estimation (52.3 MB)
2 Types of Data (50.96 MB)
20 Power Analysis (72.24 MB)
21 Measurement System Analysis (53.2 MB)
22 MSA Gage R and R (26 MB)
23 MSA Attribute Agreement Analysis (75.49 MB)
24 Process Capability Analysis (70.26 MB)
25 Hypothesis Testing (70.45 MB)
26 Hypothesis Testing Mean (52.63 MB)
27 Paired-T Test (52.04 MB)
28 Anova (39.37 MB)
29 Pareto Analysis (55.17 MB)
3 Measure of Dispersion (19.37 MB)
30 Correlation (45.7 MB)
31 Regression (35.07 MB)
32 Regression Continue (75.85 MB)
33 Control Charts (82.35 MB)
34 P-Chart (70.89 MB)
4 Descriptive Stats (69.01 MB)
5 Data Sorting (41.53 MB)
6 Histograms (33.06 MB)
7 Pie Charts (61.54 MB)
8 Bar Charts (32.55 MB)
9 Line Graphs (22.75 MB)
1 Introduction of Predictive Modeling (101.41 MB)
10 Customer Complaints-Observations (55.87 MB)
100 Generating Outputs (62.32 MB)
101 Example Five Interpretations (66.99 MB)
102 Situations Income (96.06 MB)
103 Scatterplot (84.74 MB)
104 Scatter Plot Scale (62.83 MB)
105 Using Data Analysis Toolpak (46.19 MB)
106 Implementation of Descriptive Statistics (75.57 MB)
107 Descriptive statistics - Input Range (65.6 MB)
108 Implementation of ANOVA (48.33 MB)
109 Implementation of T - Test (46.27 MB)
11 Resting Heart Rate Observations (50.61 MB)
110 Implementation Using Correlation (81.54 MB)
111 Implementation Using Regression (99.15 MB)
12 Results for Loan Applicant MTW (58.6 MB)
13 More Details on Results for Loan Applicant MTW (58.78 MB)
14 Features of T- Test (60.78 MB)
15 Loan Applicant (39.73 MB)
16 Paired T - Test (41.1 MB)
17 Understanding and Implementation of ANOVA (74.52 MB)
18 Pairwise Comparisons (61.18 MB)
19 Features of Chi - Test (72.8 MB)
2 Non Linear Regression (97.35 MB)
20 Preference and Pulse Rate (73.05 MB)
21 Diffe btw Growth Plan ad Dividend Plan in MF (55.4 MB)
22 Checking NAV Price and Repurchase Price (43.98 MB)
23 Basic Correlation Techniques (49.5 MB)
24 More on Basic Correlation Techniques (43.42 MB)
25 CT Implementation Using Minitab (65.59 MB)
26 Continue on Implemetation using Minitab (20.96 MB)
27 Interpretation of Correlation Values (40.68 MB)
28 Results for Return (66.31 MB)
29 Correlation Values - Observations (42.34 MB)
3 Anova and Control Charts (85.86 MB)
30 Correlation Values - Interpretations (53.12 MB)
31 Heart Beat - Objective (34.4 MB)
32 Heart Beat - Interpretation (37.35 MB)
33 Demographics and Living Standards (41.05 MB)
34 Demographics and Living Standards - Observation (41.05 MB)
35 Graphical Implementation (69.19 MB)
36 Add Regression Fit (75.63 MB)
37 Scatterplot with Regression (50.69 MB)
38 Scatterplot of Rhdeq vs Rhcap (41.64 MB)
39 Introduction to Regression Modeling (59.64 MB)
4 Understanding, Interpretation and implementation using Minitab (104.08 MB)
40 Identify Independent Variable (59 MB)
41 Regression Equation (54.41 MB)
42 Tabulating the Values (40.45 MB)
43 Interpretation and Implementation on Data Sets (54.48 MB)
44 Continue on Interpretation on Database (61.88 MB)
45 Significant Variable (46.5 MB)
46 Calculating Corresponding Values (61.72 MB)
47 Identify Dependent Variable (56.96 MB)
48 Generate Descriptive Statistics (58.42 MB)
49 Scatterplot of Energy Consumption (43.18 MB)
5 Continue on Interpretation and implementation using Minitab (79.09 MB)
50 Identity Equation (52.27 MB)
51 P - Value and T - Value (47.63 MB)
52 Changes in Tem and Expansion (65.02 MB)
53 Objective of Stock Prices (65.76 MB)
54 Interpretations of Example 5 (57.37 MB)
55 Reliance Return Change (67.83 MB)
56 Generate Predicted Values (56.39 MB)
57 Scatterplot Return RIL (57.89 MB)
58 Basic Multiple Regression (61.84 MB)
59 Basic Multiple Regression Continues (53.66 MB)
6 Observation (94.83 MB)
60 Basic Multiple Regression - Interpretation (61.85 MB)
61 Generate Basic Statistics (47.03 MB)
62 Working on Scatterplot (26.74 MB)
63 Dependent Variable Objective (70.84 MB)
64 Concept of Multicollinearity (52.88 MB)
65 Identify Dependent Variable Y (79.75 MB)
66 Outputs and Observation (73.25 MB)
67 Interpretations - Example 3 (73.4 MB)
68 Calculate with and without Flux (57.96 MB)
69 Scatterplot of Heart FLux Vs Insolation (46.16 MB)
7 Results for NAV Prices (32.97 MB)
70 Interpretation of Datasets (78.98 MB)
71 Implementation of Datasets (41.84 MB)
72 Example 4 Observations (58.99 MB)
73 Display Descriptive Statistics (47.52 MB)
74 Predicted Values Example 4 (74.09 MB)
75 Scatterplot of Example 4 (42.87 MB)
76 Calculating IV - Multiple Regression (59.91 MB)
77 Calculating Independent Multiple Regression (29.99 MB)
78 Understanding Basic Logistic Scatter Plot (76.84 MB)
79 Basic Logistic Scatter Plot Continues (63.74 MB)
8 NAV Prices - Observations (69.83 MB)
80 Generation of Regression Equation (73.94 MB)
81 Tabulated Values (54.4 MB)
82 Interpretation and Implementation on Dataset (70.9 MB)
83 Interpretation and Implementation on dataset Continues (53.4 MB)
84 Output and Observation - Tabulated Values (57.67 MB)
85 Business Metrics Example (40.08 MB)
86 Example Two and Three Interpretations (48.61 MB)
87 Regression Equation Group (43.04 MB)
88 Interpretation and Implementation of Scatter Plot (60.09 MB)
89 More on Implementation of Scatter Plot (44 MB)
9 Descriptive Statistics (47.72 MB)
90 Plastic Case Strength (69.25 MB)
91 Separate Equations (59.2 MB)
92 Generation of Predicted Values (76.45 MB)
93 Scatter Plot Strength Vs Temp (65.66 MB)
94 Data of Cereal Purchase (74.6 MB)
95 Children Viewed and RE (79.93 MB)
96 Predicted Values for Individual Customers (90.62 MB)
97 Income Independent Variable (65.15 MB)
98 Example of Credit Card Issuing (78 MB)
99 Example Five - Tabulated Values (71.3 MB)
1 Implementation using SPSS (97.95 MB)
2 Implementation using SPSS Continues (48.61 MB)
3 Importing Datasets in Text and CSV (55.23 MB)
4 Other Concepts of Understanding Mean SD (88.48 MB)
5 Software Menus (33.72 MB)
6 Understanding Mean Standard Deviation (81.2 MB)
7 Understanding User Operating Concepts (34.5 MB)
1 Introduction of SAS Enterprise Miner (75.33 MB)
10 Input Variable (85.68 MB)
11 Input Variable Continues (69.69 MB)
12 Values of R-Square (74.78 MB)
13 More on Variable Selection (61.09 MB)
14 Binary Target Variable (76.58 MB)
15 Variable and Effect Summary (66.83 MB)
16 Variable Selection - Variable ID's (85.58 MB)
17 Variable Frequency Table (96.43 MB)
18 Variable S - Updating Model Comparison (88.39 MB)
19 Run Data Partition Node (90.42 MB)
2 Select a SAS Table (97.43 MB)
20 Variable Selection - Fit Statistics (83.73 MB)
21 Understanding Transformation of Variables (88 MB)
22 Score Ranking Overlay Res (82.01 MB)
23 Update Transformation of Variables (72.48 MB)
24 Combination of Different Models (38.45 MB)
25 Properties of Neural Network (45.74 MB)
26 Analyzing the Output Variable (69.74 MB)
27 Combination of Regression Model (34.78 MB)
28 Combination - Result of Regression Node (61.74 MB)
29 Combination Iteration Plot (4.41 KB)
3 Creating Input Data Node (77.4 MB)
30 Subseries Plot (66.26 MB)
31 Creating Densemble Diagram (48.58 MB)
32 SAS Code (66.24 MB)
33 Decision Tree Model (52.55 MB)
34 Run and Upadate Decision Tree Model (49.09 MB)
35 Creating Dscore Node (39 MB)
36 DT - Resulf of Model Comparison (50.35 MB)
37 Leaf Statistics and Tree Map (48.55 MB)
38 Interactively Decision Trees (44.05 MB)
39 Result Node Data Partition (41.92 MB)
4 Metadata Advisor Options (63.3 MB)
40 Interactively Trees Window (51.3 MB)
41 Building a Decision Trees (46.93 MB)
42 Neural Network Model (41.18 MB)
43 Neural Network Model Output (52.55 MB)
44 Model Weight History (72.34 MB)
45 Neural Network - Final Weight (42.96 MB)
46 ROC Chart (47.94 MB)
47 Neural Network -Iteration Plot (54.79 MB)
48 Neural Network - SAS Code (64.18 MB)
49 Neural Network - Cumulative Lift (45.27 MB)
5 Add More Data Sources (96.67 MB)
50 Decision Processing (25.97 MB)
51 Results of Auto Neural Node (44.54 MB)
52 Run Model Comparison (43.51 MB)
53 DEX - Variable ID's (61.53 MB)
54 Average Square Error (41.71 MB)
55 Score Rating overlay - Event (33.55 MB)
56 Run Dmine Regression Node (38.61 MB)
57 Regression with Binary Target (39.56 MB)
58 Regression - Table Effect Plots (41.19 MB)
59 Result of Regression Model (51.54 MB)
6 Sample Statistics (93.15 MB)
60 Update Regression Node (52.65 MB)
61 Creating Flow Diagram (45.68 MB)
7 Trial report (71.21 MB)
8 Properties of Cluster Node (62.92 MB)
9 Variable Selection (57.07 MB)
1 What is Predictive Modelling (7.6 MB)
10 What is Time Series (44.65 MB)
11 Smoothing Methods - Moving Averages (33.16 MB)
12 Smoothing Methods - Double Exponential Smoothing (37.05 MB)
13 Regression Algorithms - Exponential (45.03 MB)
14 Clustering Algorithms - Definition (26.2 MB)
15 Clustering Algorithms - Fuzzy C Means Clustering (50.69 MB)
16 Neural Network Algorithm (38.98 MB)
17 Support Vector Machines (52.13 MB)
2 Predictive Modelling (15.43 MB)
3 How to Build A Predicative Model (6.65 MB)
4 Types of Variables (4.02 MB)
5 Difference Between Variables (7.86 MB)
6 Other Types - Extraneous Variables (9.26 MB)
7 How to Build A Predicative Model Steps (19.23 MB)
8 Algorithms (3.93 MB)
9 Forecasting Methods (6.27 MB)
1 Introduction to Eview Training (68.12 MB)
10 Example of Interpretations (94.07 MB)
11 Volatility Graphs (77.28 MB)
12 Generating returns Interpretation and Graphs (71.43 MB)
13 Generating returns Interpretation Continues (71.37 MB)
14 Basic Correlation Theory (85.26 MB)
15 Generating Correlation Matrix in Eviews (70.09 MB)
16 Generating Correlation Matrix in Eviews Continues (65.68 MB)
17 Mutual Funds Correlation Matrix Percentage (73.04 MB)
18 Scatter Plots Using Eviews (83.9 MB)
19 Generating Correlation Matrix (82.45 MB)
2 Eviews GUI (27.7 MB)
20 Scatter Plots and Volatility Graphs (86.99 MB)
21 Generating Correlation Matrix and Interpretations (86.38 MB)
22 Generating Correlation Interpretations (66.9 MB)
23 Generating Correlation Interpretations Continues (46.24 MB)
24 Scatter Plots (89.83 MB)
25 Working on Scatter Plots (115.69 MB)
26 Basic Regression Modelling Theory (18 MB)
27 Generating Returns and Estimation Output (67.75 MB)
28 More on Generating Returns (41.83 MB)
29 Understanding Estimation Output (58.42 MB)
3 Eviews GUI Continues (36.51 MB)
30 Understanding Estimation Output Continues (48.33 MB)
31 Example of Interpretations (94.09 MB)
32 Generating Estimation Output (92.58 MB)
33 Interpretations and Volatility Scatter Plots (63.2 MB)
34 More on Volatility Scatter Plots (42.95 MB)
35 Estimation Output Interpretations and Graphs (65.94 MB)
36 Estimation Output Interpretations and Graphs Continues (67.28 MB)
37 Example 3 - NAV Price Study (63.12 MB)
38 Working on Volatility Graphs (58.4 MB)
39 Correlation Matrix (57.46 MB)
4 Generating Log Returns (67.21 MB)
40 Correlation Matrix Continues (85.97 MB)
41 Example 4 - Estimation Output (70.59 MB)
42 Basic Regression Modelling (60.94 MB)
43 Basic Regression Modelling Continues (54.32 MB)
44 Interpretations and Scatterplot Analysis (45.98 MB)
45 More on Scatterplot Analysis (49.97 MB)
46 Equation Estimation (69.64 MB)
5 Example of Descriptive (63.1 MB)
6 Interpretation and Graphs (52.33 MB)
7 Interpretation and Graphs Continues (52.19 MB)
8 Generating Log Returns and Descriptive (45.57 MB)
9 Generating Log Returns and Descriptive Continue (49.6 MB)
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