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[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R
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2019-4-28 11:48
2024-8-18 15:47
415
30.12 GB
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Udemy
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Machine
Learning
and
Data
Science
Hands-on
with
Python
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R
文件列表
1. Machine Learning - Statistics Essentials/1. Machine Learning Introduction.mp4
20.06MB
1. Machine Learning - Statistics Essentials/10. Technical Terminology.mp4
54.82MB
1. Machine Learning - Statistics Essentials/11. Error of Observation and Non Observation.mp4
31.16MB
1. Machine Learning - Statistics Essentials/12. Systematic Sampling.mp4
54.93MB
1. Machine Learning - Statistics Essentials/13. Cluster Sampling.mp4
58.79MB
1. Machine Learning - Statistics Essentials/14. Statistics Data Types.mp4
25.59MB
1. Machine Learning - Statistics Essentials/15. Qualitative Data and Visualization.mp4
37.69MB
1. Machine Learning - Statistics Essentials/16. Machine Learning.mp4
56.07MB
1. Machine Learning - Statistics Essentials/17. Relative Frequency Probability.mp4
62.98MB
1. Machine Learning - Statistics Essentials/18. Joint Probability.mp4
85.96MB
1. Machine Learning - Statistics Essentials/19. Conditional Probability.mp4
42.78MB
1. Machine Learning - Statistics Essentials/2. Introduction to Machine Learning with Python.mp4
6.52MB
1. Machine Learning - Statistics Essentials/20. Concept of Independence.mp4
40.3MB
1. Machine Learning - Statistics Essentials/21. Total Probability.mp4
57.65MB
1. Machine Learning - Statistics Essentials/22. Random Variable.mp4
46.71MB
1. Machine Learning - Statistics Essentials/23. Probability Distribution.mp4
68.8MB
1. Machine Learning - Statistics Essentials/24. Cumulative Probability Distribution.mp4
37.58MB
1. Machine Learning - Statistics Essentials/25. Bernoulli Distribution.mp4
38.71MB
1. Machine Learning - Statistics Essentials/26. Gaussian Distribution.mp4
33.68MB
1. Machine Learning - Statistics Essentials/27. Geometric Distribution.mp4
33.2MB
1. Machine Learning - Statistics Essentials/28. Continuous and Normal Distribution.mp4
49.07MB
1. Machine Learning - Statistics Essentials/29. Mathematical Expression and Computation.mp4
33.82MB
1. Machine Learning - Statistics Essentials/3. Analytics in Machine Learning.mp4
47.03MB
1. Machine Learning - Statistics Essentials/30. Transpose of Matrix.mp4
46.05MB
1. Machine Learning - Statistics Essentials/31. Properties of Matrix.mp4
47.72MB
1. Machine Learning - Statistics Essentials/32. Determinants.mp4
47.64MB
1. Machine Learning - Statistics Essentials/33. Error Types.mp4
53.25MB
1. Machine Learning - Statistics Essentials/34. Critical Value Approach.mp4
57.08MB
1. Machine Learning - Statistics Essentials/35. Right and Left Sided Critical Approach.mp4
59.27MB
1. Machine Learning - Statistics Essentials/36. P-Value Approach.mp4
79.84MB
1. Machine Learning - Statistics Essentials/37. P-Value Approach Continues.mp4
55.8MB
1. Machine Learning - Statistics Essentials/38. Hypothesis Testing.mp4
43.49MB
1. Machine Learning - Statistics Essentials/39. Left Tail Test.mp4
22.9MB
1. Machine Learning - Statistics Essentials/4. Big Data Machine Learning.mp4
50.99MB
1. Machine Learning - Statistics Essentials/40. Two Tail Test.mp4
41.64MB
1. Machine Learning - Statistics Essentials/41. Confidence Interval.mp4
52.67MB
1. Machine Learning - Statistics Essentials/42. Example of Confidence Interval.mp4
62.96MB
1. Machine Learning - Statistics Essentials/43. Normal and Non Normal Distribution.mp4
32.45MB
1. Machine Learning - Statistics Essentials/44. Normality Test.mp4
45.72MB
1. Machine Learning - Statistics Essentials/45. Normality Test Continues.mp4
40.97MB
1. Machine Learning - Statistics Essentials/46. Determining the Transformation.mp4
22.14MB
1. Machine Learning - Statistics Essentials/47. T-Test.mp4
45.2MB
1. Machine Learning - Statistics Essentials/48. T-Test Continue.mp4
47.22MB
1. Machine Learning - Statistics Essentials/49. More on T-Test.mp4
55.52MB
1. Machine Learning - Statistics Essentials/5. Emerging Trends Machine Learning.mp4
72.39MB
1. Machine Learning - Statistics Essentials/50. Test of Independence.mp4
53.96MB
1. Machine Learning - Statistics Essentials/51. Example of Test of Independence.mp4
51.13MB
1. Machine Learning - Statistics Essentials/52. Goodness of Fit Test.mp4
40.22MB
1. Machine Learning - Statistics Essentials/53. Example of Goodness of Fit Test.mp4
37.93MB
1. Machine Learning - Statistics Essentials/54. Co-Variance.mp4
17.99MB
1. Machine Learning - Statistics Essentials/55. Co-Variance Continues.mp4
24.04MB
1. Machine Learning - Statistics Essentials/6. Data Mining.mp4
43.82MB
1. Machine Learning - Statistics Essentials/7. Data Mining Continues.mp4
67.73MB
1. Machine Learning - Statistics Essentials/8. Supervised and Unsupervised.mp4
45.4MB
1. Machine Learning - Statistics Essentials/9. Sampling Method in Machine Learning.mp4
31.14MB
10. Natural Language Processing (NLP) Tutorials/1. Intoroduction to NLP.mp4
32.7MB
10. Natural Language Processing (NLP) Tutorials/10. Stemming and Lemmatization Continues.mp4
61.22MB
10. Natural Language Processing (NLP) Tutorials/11. Convert Token No Stopwords.mp4
62.67MB
10. Natural Language Processing (NLP) Tutorials/12. Machine Learning Algorithms.mp4
60.01MB
10. Natural Language Processing (NLP) Tutorials/2. Text Preprocessing.mp4
39.41MB
10. Natural Language Processing (NLP) Tutorials/3. Feature Extraction.mp4
4.48MB
10. Natural Language Processing (NLP) Tutorials/4. NLP Installation.mp4
59.69MB
10. Natural Language Processing (NLP) Tutorials/5. NLP - Demo.mp4
89.44MB
10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4
135.03MB
10. Natural Language Processing (NLP) Tutorials/7. Tokenize Dataset.mp4
69.46MB
10. Natural Language Processing (NLP) Tutorials/8. Remove Stopwords.mp4
68.24MB
10. Natural Language Processing (NLP) Tutorials/9. Stemming and Lemmatization.mp4
96.03MB
11. Bayesian Machine Learning AB Testing/1. Introduction to Bayesian Machine Learning.mp4
36.82MB
11. Bayesian Machine Learning AB Testing/2. Example of Bayesian Machine Learning.mp4
31.87MB
11. Bayesian Machine Learning AB Testing/3. Example of Bayesian Machine Learning Continues.mp4
36.13MB
11. Bayesian Machine Learning AB Testing/4. MCMC Module of PYMC Implementation.mp4
43.41MB
11. Bayesian Machine Learning AB Testing/5. Running the MCMC Module.mp4
42.54MB
11. Bayesian Machine Learning AB Testing/6. Multiple Variant Testing Using Hierarchial Model.mp4
45.95MB
11. Bayesian Machine Learning AB Testing/7. Example of Multiple Variant Testing.mp4
29.38MB
11. Bayesian Machine Learning AB Testing/8. Example of Multiple Variant Testing Continues.mp4
52.25MB
12. Machine Learning with R/1. Introduction to Machine Learning with Python.mp4
58.25MB
12. Machine Learning with R/10. 2.10 Problem and Solution.mp4
79.67MB
12. Machine Learning with R/100. Diagnostic Checking.mp4
60.55MB
12. Machine Learning with R/101. Forecasting Using Stock Price.mp4
108.9MB
12. Machine Learning with R/102. Stock Price Index.mp4
99.87MB
12. Machine Learning with R/103. Stock Price Index Continues.mp4
95.16MB
12. Machine Learning with R/104. Prophet Stock.mp4
50.06MB
12. Machine Learning with R/105. Run Prophet Stock.mp4
78.21MB
12. Machine Learning with R/106. Time Series Data Denationalization.mp4
101.32MB
12. Machine Learning with R/107. Time Series Data Denationalization Continues.mp4
78.48MB
12. Machine Learning with R/108. Average of Quarter Denationalization.mp4
126.96MB
12. Machine Learning with R/109. Regression of Denationalization.mp4
103.77MB
12. Machine Learning with R/11. Exponentiation Right to Left.mp4
53.17MB
12. Machine Learning with R/110. Gradient Boosting Machines.mp4
67MB
12. Machine Learning with R/111. Errors in Gradient Boosting Machines.mp4
57.6MB
12. Machine Learning with R/112. What is Error Rate in Gradient Boosting Machines.mp4
57.55MB
12. Machine Learning with R/113. Optimization Gradient Boosting Machines.mp4
51.82MB
12. Machine Learning with R/114. Gradient Boosting Trees (GBT).mp4
38.39MB
12. Machine Learning with R/115. Dataset Boosting in Gradient.mp4
96.43MB
12. Machine Learning with R/116. Example of Dataset Boosting in Gradient.mp4
95.79MB
12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4
113.25MB
12. Machine Learning with R/118. Market Basket Analysis Association Rules.mp4
98.38MB
12. Machine Learning with R/119. Market Basket Analysis Association Rules Continues.mp4
78.3MB
12. Machine Learning with R/12. 2.13 Avoiding Some Common Mistakes.mp4
69.82MB
12. Machine Learning with R/120. Market Basket Analysis Interpretation.mp4
50.28MB
12. Machine Learning with R/121. Implementation of Market Basket Analysis.mp4
30.32MB
12. Machine Learning with R/122. Example of Market Basket Analysis.mp4
84.78MB
12. Machine Learning with R/123. Datamining in Market Basket Analysis.mp4
85.97MB
12. Machine Learning with R/124. Market Basket Analysis Using Rstudio.mp4
78.53MB
12. Machine Learning with R/125. Market Basket Analysis Using Rstudio Continues.mp4
94.13MB
12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4
122.52MB
12. Machine Learning with R/127. New Development in Machine Learning.mp4
93.23MB
12. Machine Learning with R/128. Data Scientist in Machine Learnirng.mp4
74.05MB
12. Machine Learning with R/129. Types of Detection in Machine Learning.mp4
102.86MB
12. Machine Learning with R/13. Simple Linear Regression.mp4
68.16MB
12. Machine Learning with R/130. Example of New Development in Machine Learning.mp4
79.23MB
12. Machine Learning with R/131. Example of New Development in Machine Learning Continues.mp4
53.15MB
12. Machine Learning with R/14. Simple Linear Regression Continues.mp4
39.71MB
12. Machine Learning with R/15. What is Rsquare.mp4
77.58MB
12. Machine Learning with R/16. Standard Error.mp4
54.56MB
12. Machine Learning with R/17. General Statistics.mp4
52.34MB
12. Machine Learning with R/18. General Statistics Continues.mp4
50.23MB
12. Machine Learning with R/19. Simple Linear Regression and More of Statistics.mp4
69.26MB
12. Machine Learning with R/2. How do Machine Learn.mp4
51.66MB
12. Machine Learning with R/20. Open the Studio.mp4
40.4MB
12. Machine Learning with R/21. What is R Square.mp4
79.51MB
12. Machine Learning with R/22. What is STD Error.mp4
55.37MB
12. Machine Learning with R/23. Reject Null Hypothesis.mp4
84.23MB
12. Machine Learning with R/24. Variance Covariance and Correlation.mp4
81.89MB
12. Machine Learning with R/25. Root names and Types of Distribution Function.mp4
71.71MB
12. Machine Learning with R/26. Generating Random Numbers and Combination Function.mp4
63.1MB
12. Machine Learning with R/27. Probabilities for Discrete Distribution Function.mp4
83.57MB
12. Machine Learning with R/28. Quantile Function and Poison Distribution.mp4
77.31MB
12. Machine Learning with R/29. Students T Distribution, Hypothesis and Example.mp4
63.21MB
12. Machine Learning with R/3. Steps to Apply Machine Learning.mp4
45.69MB
12. Machine Learning with R/30. Chai-Square Distribution.mp4
41.33MB
12. Machine Learning with R/31. Data Visualization.mp4
77.8MB
12. Machine Learning with R/32. More on Data Visualization.mp4
70.53MB
12. Machine Learning with R/33. Multiple Linear Regression.mp4
90.37MB
12. Machine Learning with R/34. Multiple Linear Regression Continues.mp4
69.98MB
12. Machine Learning with R/35. Regression Variables.mp4
101.45MB
12. Machine Learning with R/36. Generalized Linear Model.mp4
93.7MB
12. Machine Learning with R/37. Generalized Least Square.mp4
88.79MB
12. Machine Learning with R/38. KNN- Various Methods of Distance Measurements.mp4
52.96MB
12. Machine Learning with R/39. Overview of KNN- (Steps involved).mp4
71.1MB
12. Machine Learning with R/4. Regression and Classification Problems.mp4
62.38MB
12. Machine Learning with R/40. Data normalization and prediction on Test Data.mp4
86.41MB
12. Machine Learning with R/41. Improvement of Model Performance and ROC.mp4
85.09MB
12. Machine Learning with R/42. Decision Tree Classifier.mp4
57.8MB
12. Machine Learning with R/43. More on Decision Tree Classifier.mp4
81.5MB
12. Machine Learning with R/44. Pruning of Decision Trees.mp4
83.84MB
12. Machine Learning with R/45. Decision Tree Remaining.mp4
61.11MB
12. Machine Learning with R/46. Decision Tree Remaining Continues.mp4
46.7MB
12. Machine Learning with R/47. General concept of Random Forest.mp4
64.3MB
12. Machine Learning with R/48. Ada Boosting and Ensemble Learning.mp4
95.21MB
12. Machine Learning with R/49. Data Visualization and Preparation.mp4
89.28MB
12. Machine Learning with R/5. Basic Data Manipulation in R.mp4
71.68MB
12. Machine Learning with R/50. Tuning Random Forest Model.mp4
63.4MB
12. Machine Learning with R/51. Evaluation of Random Forest Model Performance.mp4
65.88MB
12. Machine Learning with R/52. Introduction to Kmeans Clustering.mp4
75.07MB
12. Machine Learning with R/53. Kmeans Elbow Point and Dataset.mp4
90.51MB
12. Machine Learning with R/54. Example of Kmeans Dataset.mp4
122.65MB
12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4
126.69MB
12. Machine Learning with R/56. Creating a Graph for Kmeans Clustering Continues.mp4
90.64MB
12. Machine Learning with R/57. Aggregation Function of Clustering.mp4
78.46MB
12. Machine Learning with R/58. Conditional Probability with Bayes Algorithm.mp4
82.98MB
12. Machine Learning with R/59. Venn Diagram Naive Bayes Classification.mp4
61.65MB
12. Machine Learning with R/6. More on Data Manipulation in R.mp4
62.14MB
12. Machine Learning with R/60. Component OF Bayes Theorem using Frequency Table.mp4
86.98MB
12. Machine Learning with R/61. Naive Bayes Classification Algorithm and Laplace Estimator.mp4
70.4MB
12. Machine Learning with R/62. Example of Naive Bayes Classification.mp4
81.66MB
12. Machine Learning with R/63. Example of Naive Bayes Classification Continues.mp4
100.12MB
12. Machine Learning with R/64. Spam and Ham Messages in Word Cloud.mp4
90.21MB
12. Machine Learning with R/65. Implementation of Dictionary and Document Term Matrix.mp4
81.48MB
12. Machine Learning with R/66. Executes the Function Naive Bayes.mp4
89.85MB
12. Machine Learning with R/67. Support Vector Machine with Black Box Method.mp4
59.63MB
12. Machine Learning with R/68. Linearly and Non- Linearly Support Vector Machine.mp4
52.99MB
12. Machine Learning with R/69. Kernal Trick.mp4
57.19MB
12. Machine Learning with R/7. Basic Data Manipulation in R - Practical.mp4
71.74MB
12. Machine Learning with R/70. Gaussian RBF Kernal and OCR with SVMs.mp4
81.18MB
12. Machine Learning with R/71. Examples of Gaussian RBF Kernal and OCR with SVMs.mp4
76.93MB
12. Machine Learning with R/72. Summary of Support Vector Machine.mp4
78.27MB
12. Machine Learning with R/73. Feature Selection Dimension Reduction Technique.mp4
86.7MB
12. Machine Learning with R/74. Feature Extraction Dimension Reduction Technique.mp4
82.53MB
12. Machine Learning with R/75. Dimension Reduction Technique Example.mp4
88.1MB
12. Machine Learning with R/76. Dimension Reduction Technique Example Continues.mp4
84.19MB
12. Machine Learning with R/77. Introduction Principal Component Analysis.mp4
66.74MB
12. Machine Learning with R/78. Steps of PCA.mp4
61.43MB
12. Machine Learning with R/79. Steps of PCA Continues.mp4
59.88MB
12. Machine Learning with R/8. Create a Vector.mp4
63.58MB
12. Machine Learning with R/80. Eigen Values.mp4
37.75MB
12. Machine Learning with R/81. Eigen Vectors.mp4
39.57MB
12. Machine Learning with R/82. Principal Component Analysis using Pr-Comp.mp4
104.06MB
12. Machine Learning with R/83. Principal Component Analysis using Pr-Comp Continues.mp4
76.54MB
12. Machine Learning with R/84. C Bind Type in PCA.mp4
89.65MB
12. Machine Learning with R/85. R Type Model.mp4
121.3MB
12. Machine Learning with R/86. Black Box Method in Neural Network.mp4
87.36MB
12. Machine Learning with R/87. Characteristics of a Neural Networks.mp4
72.69MB
12. Machine Learning with R/88. Network Topology of a Neural Networks.mp4
70.49MB
12. Machine Learning with R/89. Weight Adjustment and Case Update.mp4
80.93MB
12. Machine Learning with R/9. 2.7 Problem and Solution.mp4
69.89MB
12. Machine Learning with R/90. Introduction Model Building in R.mp4
100.93MB
12. Machine Learning with R/91. Installing the Package of Model Building in R.mp4
88.49MB
12. Machine Learning with R/92. Nodes in Model Building in R.mp4
70.8MB
12. Machine Learning with R/93. Example of Model Building in R.mp4
81.6MB
12. Machine Learning with R/94. Time Series Analysis.mp4
68.49MB
12. Machine Learning with R/95. Pattern in Time Series Data.mp4
51.02MB
12. Machine Learning with R/96. Time Series Modelling.mp4
55.94MB
12. Machine Learning with R/97. Moving Average Model.mp4
67.21MB
12. Machine Learning with R/98. Auto Correlation Function.mp4
43.08MB
12. Machine Learning with R/99. Inference of ACF and PFCF.mp4
45.22MB
13. BIP - Business Intelligence Publisher using Siebel/1. Introduction to BIP.mp4
21MB
13. BIP - Business Intelligence Publisher using Siebel/10. Siebel Applets ‚ Business Obejct and Business Components Part 2.mp4
90.35MB
13. BIP - Business Intelligence Publisher using Siebel/11. IntegrationObjectsANDIntegrationObjectComponents.mp4
101.06MB
13. BIP - Business Intelligence Publisher using Siebel/12. Siebel Views and View Associations to Reports.mp4
82.77MB
13. BIP - Business Intelligence Publisher using Siebel/13. Siebel HI-OpenUI framworks for BIP Reports and demo of AddIn.mp4
42.71MB
13. BIP - Business Intelligence Publisher using Siebel/14. Process_Flow_Overview.mp4
51.8MB
13. BIP - Business Intelligence Publisher using Siebel/15. Process_Flow_ConnectedMode.mp4
42.29MB
13. BIP - Business Intelligence Publisher using Siebel/16. Process_Flow_DisconnectedMode.mp4
42.12MB
13. BIP - Business Intelligence Publisher using Siebel/17. Siebel Report Business Service.mp4
77.34MB
13. BIP - Business Intelligence Publisher using Siebel/2. User Types.mp4
10.38MB
13. BIP - Business Intelligence Publisher using Siebel/3. Running Modes.mp4
33.52MB
13. BIP - Business Intelligence Publisher using Siebel/4. Learning about BIP Add-Ins.mp4
59.81MB
13. BIP - Business Intelligence Publisher using Siebel/5. BIP_Into_5_BIP_AddIn2 and BIP_Into_6.mp4
64.35MB
13. BIP - Business Intelligence Publisher using Siebel/6. BIP_Into_7_Customized Reports Overview.mp4
59.34MB
13. BIP - Business Intelligence Publisher using Siebel/7. BIP_Into_8_Developing Reports Overview.mp4
19.14MB
13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4
110.09MB
13. BIP - Business Intelligence Publisher using Siebel/9. Siebel Applets ‚ Business Obejct and Business Components Part 1.mp4
87.33MB
14. BI - Business Intelligence/1. BI Intro,definition.mp4
51.19MB
14. BI - Business Intelligence/10. planning deliverables,stage 3.mp4
34.1MB
14. BI - Business Intelligence/100. Regression Model(Continues).mp4
44.73MB
14. BI - Business Intelligence/101. Market Basket Analysis Applications.mp4
46.71MB
14. BI - Business Intelligence/102. Market Basket Analysis Applications(Continues).mp4
35.93MB
14. BI - Business Intelligence/11. Project Requirement,Data Analysis,Application part 1.mp4
52.97MB
14. BI - Business Intelligence/12. Project Requirement,Data Analysis,Application part 2.mp4
65.11MB
14. BI - Business Intelligence/13. Project Requirement,Data Analysis,Application part 3.mp4
46.98MB
14. BI - Business Intelligence/14. Meta Data.mp4
11.09MB
14. BI - Business Intelligence/15. data standardisation,meta data,etl,business analysis part 1.mp4
61.46MB
14. BI - Business Intelligence/16. data standardisation,meta data,etl,business analysis part 2.mp4
51.14MB
14. BI - Business Intelligence/17. data standardisation,meta data,etl,business analysis part 3.mp4
20.52MB
14. BI - Business Intelligence/18. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 1.mp4
47.14MB
14. BI - Business Intelligence/19. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 2.mp4
65.35MB
14. BI - Business Intelligence/2. multidimensional db part 1.mp4
50.11MB
14. BI - Business Intelligence/20. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 1.mp4
46.66MB
14. BI - Business Intelligence/21. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 2.mp4
17.37MB
14. BI - Business Intelligence/22. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 3.mp4
60.84MB
14. BI - Business Intelligence/23. database & recovery,release evaluation.mp4
30.53MB
14. BI - Business Intelligence/24. post implementation review,toyota case.mp4
44.88MB
14. BI - Business Intelligence/25. frame work for BI Part 1.mp4
58.71MB
14. BI - Business Intelligence/26. frame work for BI Part 2.mp4
56.09MB
14. BI - Business Intelligence/27. frame work for BI Part 3.mp4
33.11MB
14. BI - Business Intelligence/28. frame work for BI Part 4.mp4
38.18MB
14. BI - Business Intelligence/29. strategic imperitive of BI Part 1.mp4
49.28MB
14. BI - Business Intelligence/3. multidimensional db part 2.mp4
61.19MB
14. BI - Business Intelligence/30. strategic imperitive of BI Part 2.mp4
41.76MB
14. BI - Business Intelligence/31. Target System.mp4
47.82MB
14. BI - Business Intelligence/32. Data warehouse and ETL.mp4
33.03MB
14. BI - Business Intelligence/33. Facebook dataspace management with open source tools.mp4
38.35MB
14. BI - Business Intelligence/34. Agile Development Process.mp4
34.55MB
14. BI - Business Intelligence/35. Agile Development Process Continues.mp4
44.66MB
14. BI - Business Intelligence/36. Challenges on dash board.mp4
32.28MB
14. BI - Business Intelligence/37. Building Users Expert Profile.mp4
62.77MB
14. BI - Business Intelligence/38. Semantic Technologies.mp4
53.11MB
14. BI - Business Intelligence/39. Semantic Tools.mp4
53.66MB
14. BI - Business Intelligence/4. multidimensional db part 3.mp4
56.1MB
14. BI - Business Intelligence/40. BI Algorithm By Example.mp4
42.01MB
14. BI - Business Intelligence/41. Benefits of BI.mp4
27.67MB
14. BI - Business Intelligence/42. Benefits of BI Continues.mp4
43.66MB
14. BI - Business Intelligence/43. Amazon.com and Net Flix.mp4
38.96MB
14. BI - Business Intelligence/44. What is Information Governance.mp4
49.97MB
14. BI - Business Intelligence/45. Other BI Applications are used to store.mp4
45.27MB
14. BI - Business Intelligence/46. Designing and Implementing BI Program.mp4
46.72MB
14. BI - Business Intelligence/47. ETL.mp4
37.37MB
14. BI - Business Intelligence/48. ETL Continues.mp4
30.78MB
14. BI - Business Intelligence/49. Loading.mp4
35.06MB
14. BI - Business Intelligence/5. dbms platform.mp4
11.8MB
14. BI - Business Intelligence/50. Type 2 Dimension.mp4
51.92MB
14. BI - Business Intelligence/51. Loading Fact Tables.mp4
47.39MB
14. BI - Business Intelligence/52. Genearl Idea.mp4
41.4MB
14. BI - Business Intelligence/53. Conceptual Model.mp4
36.9MB
14. BI - Business Intelligence/54. Conceptual Model Continues.mp4
49.97MB
14. BI - Business Intelligence/55. On Going Or Future Works.mp4
51.43MB
14. BI - Business Intelligence/56. Why Meta Data.mp4
42.77MB
14. BI - Business Intelligence/57. Essentials Capabilities.mp4
27.42MB
14. BI - Business Intelligence/58. Common Warehouse Metamodels.mp4
30.76MB
14. BI - Business Intelligence/59. Data Advantage Group.mp4
54MB
14. BI - Business Intelligence/6. technical non technical infrastructre part 1.mp4
43.12MB
14. BI - Business Intelligence/60. DBMS Meta Data Tips.mp4
64.31MB
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14. BI - Business Intelligence/62. Meta Data Essentials For IT.mp4
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14. BI - Business Intelligence/86. BIRCH (1996).mp4
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2. Machine Learning with Tensorflow for Beginners/16. Introduction to Third Party Libraries.mp4
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2. Machine Learning with Tensorflow for Beginners/61. Python Libraries Conclusion.mp4
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3. Machine Learning Project #1 - Shipping and Time Estimation/1. Introduction to Shipping and pricing.mp4
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3. Machine Learning Project #1 - Shipping and Time Estimation/9. Mean Absolute Error.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/1. Introduction to Supply Chain.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/2. G Plot of Heatmap.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/5. Distinguished Methods with Single.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/6. Analyzing both the Plots.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/7. Defining the Lengths.mp4
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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/8. Using Different Clusters.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/1. Introduction to Predicting Prices Using Regression.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/10. Replacing Features with Values.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/11. Assigning Quantatative Variables.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/12. Converting Columns to Cordinal Forms.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/13. Evaluating the Garage Finish Colummn.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/14. Checking Shape of Data Frame.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/15. Spliting Data to Train and Test.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/16. Algorithm for Predicting Test Values.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/2. Proximity to Various Conditions.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/3. Number of Fire Places.mp4
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5. Machine Learning Project #3 - Predicting Prices using Regression/9. Imputing a Row using at Command.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/1. Introduction to Banking System.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/2. Laon Status Grade.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/3. Logistic Regression and Logistic Question.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/4. Beta Value.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/5. Predict Value.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/6. Performance Value.mp4
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6. Machine Learning Project #4 - Banking and Credit Frauds/7. Fals Positive Rate.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/1. Introduction to Fraud Detection in Credit Payments.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/11. CRS Efficiency and Efficiency.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/2. Installation of Packages.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/3. Risk Analytics.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/4. Trading Companies and Stocks.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/5. DEA with Input or Profit and Loss.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/6. Efficiency Profit and Loss.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/7. Rank Functions.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/8. RHS Constaints.mp4
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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/9. Profit and Loss Report.mp4
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8. AWS Machine Learning/1. Introduction to Amazon Machine Learning (AML).mp4
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8. AWS Machine Learning/10. Example of Data Insight In AML.mp4
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8. AWS Machine Learning/12. ML Model Example in Data Sources.mp4
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8. AWS Machine Learning/15. Creating ML Model for Batch Prediction.mp4
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8. AWS Machine Learning/16. Batch Prediction Result.mp4
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8. AWS Machine Learning/17. Overvies of ML Model Handson.mp4
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8. AWS Machine Learning/18. ML objects Handson in ML.mp4
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8. AWS Machine Learning/2. Lifecycle of AML.mp4
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8. AWS Machine Learning/3. Connecting to Data Source in AML.mp4
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8. AWS Machine Learning/5. Invaild Value and Varible Target in AML.mp4
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9. Deep Learning Tutorials/1. Introduction to Deep Learning.mp4
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9. Deep Learning Tutorials/2. Structure of Neural Network.mp4
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9. Deep Learning Tutorials/3. Moving Through Neural Network.mp4
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9. Deep Learning Tutorials/4. Types of Activation Functions.mp4
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9. Deep Learning Tutorials/5. Optimizing Back Propagation.mp4
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9. Deep Learning Tutorials/6. Briefing on Tensor Flow.mp4
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9. Deep Learning Tutorials/7. Installation of Tensor Flow.mp4
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9. Deep Learning Tutorials/8. Implementatiion on Neural Package.mp4
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9. Deep Learning Tutorials/9. Implementatiion on Neural Package Continues.mp4
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