23:33
6. Transportation Problem in IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
13:39
5. Linear Programming Problem (LPP) in IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
07:04
4. Defining Parameters in IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
02:32
3. Creating OPL Project in IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
04:04
2. Interface of IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
05:03
1. Installation of IBM ILOG CPLEX Optimization Studio || Dr. Dhaval Maheta
22:21
45. Dynamic Conditional Correlation DCC Garch in EViews || Dr. Dhaval Maheta
20:11
44. Self Exciting Threshold Autoregressive (SETAR) Model in EViews || Dr. Dhaval Maheta
19:20
43. Threshold Auto Regressive (TAR) Model in EViews|| Dr. Dhaval Maheta
31:49
42. Markov Switching Regression in EViews || Dr. Dhaval Maheta
12:58
41. Quantile Regression in EViews || Dr. Dhaval Maheta
13:34
40. ARIMAX Model in Eviews || Dr. Dhaval Maheta
04:03
39. Trend Test in EViews || Dr. Dhaval Maheta
03:13
38. Bubble Test in EViews || Dr. Dhaval Maheta
04:39
37. Mean Change Point Test in EViews || Dr. Dhaval Maheta
04:07
36. Transforming Low Frequency Data to High Frequency Data using EViews || Dr. Dhaval Maheta
02:28
101. Statistics Widget -Text Mining in Orange || Dr. Dhaval Maheta
02:05
100. Collocations Widget in Orange || Dr. Dhaval Maheta
02:50
99. Concordance Widget using Orange || Dr. Dhaval Maheta
05:58
98. Sentiment Analysis using Orange || Dr. Dhaval Maheta
02:30
97. Similarity Hashing in Orange || Dr. Dhaval Maheta
05:21
96. Text Analytics in Orange || Dr. Dhaval Maheta
02:50
95. Text Mining - Bag of Words in Orange || Dr. Dhaval Maheta
03:59
94. Text Mining - Word Cloud in Orange || Dr. Dhaval Maheta
02:04
93. Text Mining in Orange: An Introduction || Dr. Dhaval Maheta
03:05
92. Time Slicing in Orange || Dr. Dhaval Maheta
04:24
91. Model Comparison in Orange || Dr. Dhaval Maheta
05:44
90. Vector Auto Regressive [VAR] Model in Orange || Dr. Dhaval Maheta
05:03
89. Auto Regressive Integrate Moving Average (ARIMA) Model in Orange || Dr. Dhaval Maheta
03:14
88. Granger Causality in Orange || Dr. Dhaval Maheta
01:50
87. Spiralogram in Orange || Dr. Dhaval Maheta
02:00
86. Correlogram in Orange || Dr. Dhaval Maheta
01:11
85. Periodogram in Orange || Dr. Dhaval Maheta
03:48
84. Moving Average in Orange || Dr. Dhaval Maheta
02:28
83. Interpolate Data in Orange || Dr. Dhaval Maheta
02:28
82. Time Series - Line Chart in Orange || Dr. Dhaval Maheta
10:39
81. Association Rules in Orange || Dr. Dhaval Maheta
02:57
80. Image Classification in Orange || Dr. Dhaval Maheta
03:50
79. Self Organizing Map (SOM) in Orange || Dr. Dhaval Maheta
03:55
78. Multi Dimensional Scaling [MDS] in Orange || Dr. Dhaval Maheta
02:48
77. Distance Transformation in Orange || Dr. Dhaval Maheta
02:50
76. Correspondence Analysis in Orange || Dr. Dhaval Maheta
05:04
75. Principal Component Analysis (PCA) in Orange || Dr. Dhaval Maheta
03:46
74. Outlier Detection in Orange || Dr. Dhaval Maheta
03:24
73. Manifold Learning in Orange || Dr. Dhaval Maheta
02:42
72. DBSCAN Clustering in Orange || Dr. Dhaval Maheta
02:54
71. Louvain Clustering in Orange || Dr. Dhaval Maheta
04:53
70. K-Means in Orange || Dr. Dhaval Maheta
05:34
69. Hierarchical Clustering in Orange || Dr. Dhaval Maheta
03:02
68. Correlations in Orange || Dr. Dhaval Maheta
05:19
67. t-SNE in Orange || Dr. Dhaval Maheta
03:08
66. Distance Matrix and Distance Maps in Orange || Dr. Dhaval Maheta
03:32
65. Save and Load Model in Orange || Dr. Dhaval Maheta
10:51
64. Stacking in Orange || Dr. Dhaval Maheta
13:09
63. Stochastic Gradient Descent Algorithm (SGD) in Orange || Dr. Dhaval Maheta
13:48
62. Neural Network in Orange || Dr. Dhaval Maheta
15:36
61. Adaptive Boosting (Adaboost) in Orange || Dr. Dhaval Maheta
13:09
60. Naive Bayes in Orange || Dr. Dhaval Maheta
14:09
59. Logistic Regression in Orange || Dr. Dhaval Maheta
08:28
58. Linear Regression in Orange || Dr. Dhaval Maheta
X
About
Dr. Dhaval Maheta is an accomplished professor specializing in Business and Industrial Management. He is a Doctorate in Management. He has authored insightful books on various software tools like "Minitab," "Statistical Analysis using R Software," "Machine Learning Using R-Rattle," and "Data Analysis using R."
Dr. Maheta offers comprehensive training sessions on numerous software platforms, including SPSS, STATCRAFT, STATA, R and R-Studio, Minitab, Jamovi, Excel, Power BI Desktop, Google Data Studio, Tableau, SPSS-AMOS, ADANCO, Smart-PLS, SEM using R, Qualitative Data Analysis using Nvivo and Atlas.it, Design of Experiment using Minitab and Design Expert, Eviews, Gretl and Econometric Analysis using R.
This YouTube channel is a gateway to a treasure trove of insights in data analysis and management. Subscribers gain access to tutorials, insights, and tips curated by Dr. Dhaval Maheta himself.
Tags