Udemy Machine Learning and Business Intelligence Masterclass

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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:30.21 GB

Files Included :

1 Machine Learning Introduction.mp4 (20.05 MB)
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10 Technical Terminology.mp4 (54.81 MB)
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11 Error of Observation and Non Observation.mp4 (31.16 MB)
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12 Systematic Sampling.mp4 (54.93 MB)
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13 Cluster Sampling.mp4 (58.79 MB)
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14 Statistics Data Types.mp4 (25.58 MB)
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15 Qualitative Data and Visualization.mp4 (37.68 MB)
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16 Machine Learning.mp4 (56.07 MB)
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17 Relative Frequency Probability.mp4 (62.98 MB)
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18 Joint Probability.mp4 (85.96 MB)
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19 Conditional Probability.mp4 (42.77 MB)
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2 Introduction to Machine Learning with Python.mp4 (6.51 MB)
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20 Concept of Independence.mp4 (40.29 MB)
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21 Total Probability.mp4 (57.65 MB)
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22 Random Variable.mp4 (46.7 MB)
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23 Probability Distribution.mp4 (68.79 MB)
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24 Cumulative Probability Distribution.mp4 (37.58 MB)
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25 Bernoulli Distribution.mp4 (38.7 MB)
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26 Gaussian Distribution.mp4 (33.67 MB)
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27 Geometric Distribution.mp4 (33.2 MB)
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28 Continuous and Normal Distribution.mp4 (49.07 MB)
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29 Mathematical Expression and Computation.mp4 (33.81 MB)
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3 Analytics in Machine Learning.mp4 (47.02 MB)
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30 Transpose of Matrix.mp4 (46.04 MB)
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31 Properties of Matrix.mp4 (47.71 MB)
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32 Determinants.mp4 (47.63 MB)
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33 Error Types.mp4 (53.25 MB)
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34 Critical Value Approach.mp4 (57.07 MB)
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35 Right and Left Sided Critical Approach.mp4 (59.26 MB)
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36 P-Value Approach.mp4 (79.83 MB)
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37 P-Value Approach Continues.mp4 (55.79 MB)
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38 Hypothesis Testing.mp4 (43.48 MB)
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39 Left Tail Test.mp4 (22.89 MB)
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4 Big Data Machine Learning.mp4 (50.99 MB)
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40 Two Tail Test.mp4 (41.63 MB)
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41 Confidence Interval.mp4 (52.66 MB)
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42 Example of Confidence Interval.mp4 (62.95 MB)
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43 Normal and Non Normal Distribution.mp4 (32.45 MB)
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44 Normality Test.mp4 (45.71 MB)
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45 Normality Test Continues.mp4 (40.98 MB)
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46 Determining the Transformation.mp4 (22.14 MB)
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47 T-Test.mp4 (45.19 MB)
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48 T-Test Continue.mp4 (47.21 MB)
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49 More on T-Test.mp4 (55.51 MB)
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5 Emerging Trends Machine Learning.mp4 (72.39 MB)
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50 Test of Independence.mp4 (53.96 MB)
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51 Example of Test of Independence.mp4 (51.12 MB)
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52 Goodness of Fit Test.mp4 (40.22 MB)
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53 Example of Goodness of Fit Test.mp4 (37.92 MB)
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54 Co-Variance.mp4 (17.98 MB)
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55 Co-Variance Continues.mp4 (24.03 MB)
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6 Data Mining.mp4 (43.82 MB)
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7 Data Mining Continues.mp4 (67.72 MB)
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8 Supervised and Unsupervised.mp4 (45.39 MB)
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9 Sampling Method in Machine Learning.mp4 (31.14 MB)
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1 Intoroduction to NLP.mp4 (32.71 MB)
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10 Stemming and Lemmatization Continues.mp4 (61.21 MB)
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11 Convert Token No Stopwords.mp4 (62.66 MB)
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12 Machine Learning Algorithms.mp4 (60 MB)
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2 Text Preprocessing.mp4 (39.4 MB)
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3 Feature Extraction.mp4 (4.48 MB)
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4 NLP Installation.mp4 (59.68 MB)
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5 NLP - Demo.mp4 (89.43 MB)
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6 Replacing Contractions.mp4 (135.02 MB)
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7 Tokenize Dataset.mp4 (69.45 MB)
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8 Remove Stopwords.mp4 (68.24 MB)
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9 Stemming and Lemmatization.mp4 (96.02 MB)
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1 Introduction to Bayesian Machine Learning.mp4 (36.81 MB)
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2 Example of Bayesian Machine Learning.mp4 (31.87 MB)
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3 Example of Bayesian Machine Learning Continues.mp4 (36.12 MB)
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4 MCMC Module of PYMC Implementation.mp4 (43.41 MB)
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5 Running the MCMC Module.mp4 (42.53 MB)
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6 Multiple Variant Testing Using Hierarchial Model.mp4 (45.94 MB)
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7 Example of Multiple Variant Testing.mp4 (29.37 MB)
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8 Example of Multiple Variant Testing Continues.mp4 (52.25 MB)
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1 Introduction to Machine Learning with Python.mp4 (58.24 MB)
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10 2 10 Problem and Solution.mp4 (79.67 MB)
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100 Diagnostic Checking.mp4 (60.55 MB)
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101 Forecasting Using Stock Price.mp4 (108.89 MB)
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102 Stock Price Index.mp4 (99.86 MB)
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103 Stock Price Index Continues.mp4 (95.15 MB)
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104 Prophet Stock.mp4 (50.05 MB)
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105 Run Prophet Stock.mp4 (78.2 MB)
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106 Time Series Data Denationalization.mp4 (101.31 MB)
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107 Time Series Data Denationalization Continues.mp4 (78.47 MB)
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108 Average of Quarter Denationalization.mp4 (126.96 MB)
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109 Regression of Denationalization.mp4 (103.76 MB)
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11 Exponentiation Right to Left.mp4 (53.17 MB)
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110 Gradient Boosting Machines.mp4 (66.99 MB)
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111 Errors in Gradient Boosting Machines.mp4 (57.59 MB)
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112 What is Error Rate in Gradient Boosting Machines.mp4 (57.54 MB)
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113 Optimization Gradient Boosting Machines.mp4 (51.82 MB)
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114 Gradient Boosting Trees (GBT).mp4 (38.38 MB)
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115 Dataset Boosting in Gradient.mp4 (96.44 MB)
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116 Example of Dataset Boosting in Gradient.mp4 (95.8 MB)
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117 Example of Dataset Boosting in Gradient Continues.mp4 (113.24 MB)
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118 Market Basket Analysis Association Rules.mp4 (98.38 MB)
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119 Market Basket Analysis Association Rules Continues.mp4 (78.29 MB)
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12 2 13 Avoiding Some Common Mistakes.mp4 (69.81 MB)
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120 Market Basket Analysis Interpretation.mp4 (50.27 MB)
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121 Implementation of Market Basket Analysis.mp4 (30.31 MB)
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122 Example of Market Basket Analysis.mp4 (84.77 MB)
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123 Datamining in Market Basket Analysis.mp4 (85.96 MB)
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124 Market Basket Analysis Using Rstudio.mp4 (78.53 MB)
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125 Market Basket Analysis Using Rstudio Continues.mp4 (94.12 MB)
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126 More on Rstudio in Market Analysis.mp4 (122.51 MB)
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127 New Development in Machine Learning.mp4 (93.22 MB)
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128 Data Scientist in Machine Learnirng.mp4 (74.04 MB)
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129 Types of Detection in Machine Learning.mp4 (102.85 MB)
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13 Simple Linear Regression.mp4 (68.15 MB)
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130 Example of New Development in Machine Learning.mp4 (79.22 MB)
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131 Example of New Development in Machine Learning Continues.mp4 (53.14 MB)
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14 Simple Linear Regression Continues.mp4 (39.7 MB)
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15 What is Rsquare.mp4 (77.57 MB)
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16 Standard Error.mp4 (54.55 MB)
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17 General Statistics.mp4 (52.34 MB)
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18 General Statistics Continues.mp4 (50.22 MB)
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19 Simple Linear Regression and More of Statistics.mp4 (69.26 MB)
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2 How do Machine Learn.mp4 (51.65 MB)
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20 Open the Studio.mp4 (40.39 MB)
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21 What is R Square.mp4 (79.5 MB)
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22 What is STD Error.mp4 (55.37 MB)
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23 Reject Null Hypothesis.mp4 (84.22 MB)
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24 Variance Covariance and Correlation.mp4 (81.88 MB)
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25 Root names and Types of Distribution Function.mp4 (71.7 MB)
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26 Generating Random Numbers and Combination Function.mp4 (63.1 MB)
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27 Probabilities for Discrete Distribution Function.mp4 (83.57 MB)
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28 Quantile Function and Poison Distribution.mp4 (77.3 MB)
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29 Students T Distribution, Hypothesis and Example.mp4 (63.2 MB)
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3 Steps to Apply Machine Learning.mp4 (45.68 MB)
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30 Chai-Square Distribution.mp4 (41.32 MB)
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31 Data Visualization.mp4 (77.79 MB)
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32 More on Data Visualization.mp4 (70.52 MB)
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33 Multiple Linear Regression.mp4 (90.37 MB)
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34 Multiple Linear Regression Continues.mp4 (69.97 MB)
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35 Regression Variables.mp4 (101.45 MB)
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36 Generalized Linear Model.mp4 (93.7 MB)
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37 Generalized Least Square.mp4 (88.78 MB)
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38 KNN- Various Methods of Distance Measurements.mp4 (52.95 MB)
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39 Overview of KNN- (Steps involved).mp4 (71.09 MB)
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4 Regression and Classification Problems.mp4 (62.37 MB)
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40 Data normalization and prediction on Test Data.mp4 (86.41 MB)
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41 Improvement of Model Performance and ROC.mp4 (85.08 MB)
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42 Decision Tree Classifier.mp4 (57.8 MB)
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43 More on Decision Tree Classifier.mp4 (81.49 MB)
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44 Pruning of Decision Trees.mp4 (83.83 MB)
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45 Decision Tree Remaining.mp4 (61.1 MB)
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46 Decision Tree Remaining Continues.mp4 (46.69 MB)
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47 General concept of Random Forest.mp4 (64.29 MB)
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48 Ada Boosting and Ensemble Learning.mp4 (95.22 MB)
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49 Data Visualization and Preparation.mp4 (89.27 MB)
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5 Basic Data Manipulation in R.mp4 (71.67 MB)
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50 Tuning Random Forest Model.mp4 (63.4 MB)
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51 Evaluation of Random Forest Model Performance.mp4 (65.87 MB)
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52 Introduction to Kmeans Clustering.mp4 (75.06 MB)
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53 Kmeans Elbow Point and Dataset.mp4 (90.5 MB)
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54 Example of Kmeans Dataset.mp4 (122.64 MB)
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55 Creating a Graph for Kmeans Clustering.mp4 (126.68 MB)
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56 Creating a Graph for Kmeans Clustering Continues.mp4 (90.63 MB)
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57 Aggregation Function of Clustering.mp4 (78.45 MB)
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58 Conditional Probability with Bayes Algorithm.mp4 (82.98 MB)
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59 Venn Diagram Naive Bayes Classification.mp4 (61.64 MB)
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6 More on Data Manipulation in R.mp4 (62.13 MB)
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60 Component OF Bayes Theorem using Frequency Table.mp4 (86.97 MB)
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61 Naive Bayes Classification Algorithm and Laplace Estimator.mp4 (70.39 MB)
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62 Example of Naive Bayes Classification.mp4 (81.65 MB)
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63 Example of Naive Bayes Classification Continues.mp4 (100.11 MB)
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64 Spam and Ham Messages in Word Cloud.mp4 (90.2 MB)
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65 Implementation of Dictionary and Document Term Matrix.mp4 (81.47 MB)
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66 Executes the Function Naive Bayes.mp4 (89.85 MB)
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67 Support Vector Machine with Black Box Method.mp4 (59.62 MB)
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68 Linearly and Non- Linearly Support Vector Machine.mp4 (52.98 MB)
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69 Kernal Trick.mp4 (57.18 MB)
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7 Basic Data Manipulation in R - Practical.mp4 (71.74 MB)
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70 Gaussian RBF Kernal and OCR with SVMs.mp4 (81.17 MB)
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71 Examples of Gaussian RBF Kernal and OCR with SVMs.mp4 (76.92 MB)
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72 Summary of Support Vector Machine.mp4 (78.27 MB)
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73 Feature Selection Dimension Reduction Technique.mp4 (86.69 MB)
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74 Feature Extraction Dimension Reduction Technique.mp4 (82.52 MB)
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75 Dimension Reduction Technique Example.mp4 (88.09 MB)
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76 Dimension Reduction Technique Example Continues.mp4 (84.18 MB)
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77 Introduction Principal Component Analysis.mp4 (66.73 MB)
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78 Steps of PCA.mp4 (61.42 MB)
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79 Steps of PCA Continues.mp4 (59.87 MB)
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8 Create a Vector.mp4 (63.57 MB)
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80 Eigen Values.mp4 (37.75 MB)
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81 Eigen Vectors.mp4 (39.57 MB)
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82 Principal Component Analysis using Pr-Comp.mp4 (104.05 MB)
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83 Principal Component Analysis using Pr-Comp Continues.mp4 (76.54 MB)
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84 C Bind Type in PCA.mp4 (89.64 MB)
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85 R Type Model.mp4 (121.29 MB)
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86 Black Box Method in Neural Network.mp4 (87.36 MB)
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87 Characteristics of a Neural Networks.mp4 (72.68 MB)
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88 Network Topology of a Neural Networks.mp4 (70.49 MB)
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89 Weight Adjustment and Case Update.mp4 (80.93 MB)
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9 2 7 Problem and Solution.mp4 (69.88 MB)
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90 Introduction Model Building in R.mp4 (100.92 MB)
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91 Installing the Package of Model Building in R.mp4 (88.48 MB)
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92 Nodes in Model Building in R.mp4 (70.8 MB)
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93 Example of Model Building in R.mp4 (81.59 MB)
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94 Time Series Analysis.mp4 (68.49 MB)
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95 Pattern in Time Series Data.mp4 (51.01 MB)
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96 Time Series Modelling.mp4 (55.93 MB)
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97 Moving Average Model.mp4 (67.2 MB)
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98 Auto Correlation Function.mp4 (43.08 MB)
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99 Inference of ACF and PFCF.mp4 (45.21 MB)
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1 Introduction to BIP.mp4 (21 MB)
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10 Siebel Applets &sbquo; Business Obejct and Business Components Part 2.mp4 (90.34 MB)
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11 IntegrationObjectsANDIntegrationObjectComponents.mp4 (101.06 MB)
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12 Siebel Views and View Associations to Reports.mp4 (82.76 MB)
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13 Siebel HI-OpenUI framworks for BIP Reports and demo of AddIn.mp4 (42.71 MB)
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14 Process Flow Overview.mp4 (51.8 MB)
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15 Process Flow ConnectedMode.mp4 (42.29 MB)
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16 Process Flow DisconnectedMode.mp4 (42.11 MB)
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17 Siebel Report Business Service.mp4 (77.33 MB)
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2 User Types.mp4 (10.37 MB)
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3 Running Modes.mp4 (33.51 MB)
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4 Learning about BIP Add-Ins.mp4 (59.8 MB)
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5 BIP Into 5 BIP AddIn2 and BIP Into 6.mp4 (64.34 MB)
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6 BIP Into 7 Customized Reports Overview.mp4 (59.34 MB)
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7 BIP Into 8 Developing Reports Overview.mp4 (19.13 MB)
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8 Showing Report Views on Application.mp4 (110.09 MB)
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9 Siebel Applets &sbquo; Business Obejct and Business Components Part 1.mp4 (87.32 MB)
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1 BI Intro,definition.mp4 (51.18 MB)
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10 planning deliverables,stage 3.mp4 (34.1 MB)
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100 Regression Model(Continues).mp4 (44.73 MB)
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101 Market Basket Analysis Applications.mp4 (46.7 MB)
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102 Market Basket Analysis Applications(Continues).mp4 (35.92 MB)
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11 Project Requirement,Data Analysis,Application part 1.mp4 (52.96 MB)
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12 Project Requirement,Data Analysis,Application part 2.mp4 (65.1 MB)
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13 Project Requirement,Data Analysis,Application part 3.mp4 (46.97 MB)
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14 Meta Data.mp4 (11.09 MB)
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15 data standardisation,meta data,etl,business analysis part 1.mp4 (61.46 MB)
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16 data standardisation,meta data,etl,business analysis part 2.mp4 (51.13 MB)
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17 data standardisation,meta data,etl,business analysis part 3.mp4 (20.51 MB)
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18 ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 1.mp4 (47.13 MB)
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19 ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 2.mp4 (65.34 MB)
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2 multidimensional db part 1.mp4 (50.1 MB)
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20 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 1.mp4 (46.65 MB)
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21 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 2.mp4 (17.36 MB)
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22 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 3.mp4 (60.84 MB)
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23 database & recovery,release evaluation.mp4 (30.52 MB)
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24 post implementation review,toyota case.mp4 (44.87 MB)
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25 frame work for BI Part 1.mp4 (58.7 MB)
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26 frame work for BI Part 2.mp4 (56.08 MB)
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27 frame work for BI Part 3.mp4 (33.11 MB)
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28 frame work for BI Part 4.mp4 (38.17 MB)
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29 strategic imperitive of BI Part 1.mp4 (49.27 MB)
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3 multidimensional db part 2.mp4 (61.18 MB)
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30 strategic imperitive of BI Part 2.mp4 (41.75 MB)
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31 Target System.mp4 (47.81 MB)
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32 Data warehouse and ETL.mp4 (33.03 MB)
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33 Facebook dataspace management with open source tools.mp4 (38.35 MB)
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34 Agile Development Process.mp4 (34.55 MB)
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35 Agile Development Process Continues.mp4 (44.65 MB)
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36 Challenges on dash board.mp4 (32.27 MB)
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37 Building Users Expert Profile.mp4 (62.76 MB)
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38 Semantic Technologies.mp4 (53.11 MB)
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39 Semantic Tools.mp4 (53.65 MB)
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4 multidimensional db part 3.mp4 (56.1 MB)
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40 BI Algorithm By Example.mp4 (42.01 MB)
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41 Benefits of BI.mp4 (27.67 MB)
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42 Benefits of BI Continues.mp4 (43.65 MB)
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43 Amazon com and Net Flix.mp4 (38.96 MB)
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44 What is Information Governance.mp4 (49.97 MB)
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45 Other BI Applications are used to store.mp4 (45.26 MB)
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46 Designing and Implementing BI Program.mp4 (46.72 MB)
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47 ETL.mp4 (37.36 MB)
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48 ETL Continues.mp4 (30.78 MB)
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49 Loading.mp4 (35.05 MB)
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5 dbms platform.mp4 (11.8 MB)
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50 Type 2 Dimension.mp4 (51.91 MB)
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51 Loading Fact Tables.mp4 (47.38 MB)
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52 Genearl Idea.mp4 (41.39 MB)
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53 Conceptual Model.mp4 (36.89 MB)
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54 Conceptual Model Continues.mp4 (49.97 MB)
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55 On Going Or Future Works.mp4 (51.42 MB)
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56 Why Meta Data.mp4 (42.76 MB)
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57 Essentials Capabilities.mp4 (27.42 MB)
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58 Common Warehouse Metamodels.mp4 (30.75 MB)
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59 Data Advantage Group.mp4 (53.99 MB)
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6 technical non technical infrastructre part 1.mp4 (43.12 MB)
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60 DBMS Meta Data Tips.mp4 (64.3 MB)
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61 For Building The Dataware house(Extraction Team).mp4 (51.68 MB)
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62 Meta Data Essentials For IT.mp4 (48.64 MB)
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63 Business Metadata.mp4 (41.08 MB)
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64 Business Meta Data (Continues).mp4 (24.2 MB)
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65 Project Planning.mp4 (56.85 MB)
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66 Project Planning (Continues).mp4 (31.19 MB)
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67 Deployment Process.mp4 (74.43 MB)
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68 Chapter Outline.mp4 (39.33 MB)
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69 Break-Even Analysis.mp4 (37.83 MB)
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7 technical non technical infrastructre part 2.mp4 (51.18 MB)
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70 Examples Of Break-Even Analysis.mp4 (43.71 MB)
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71 Multivirate Analysis.mp4 (49.95 MB)
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72 Multivirate Analysis (Continues).mp4 (30.92 MB)
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73 Graphs.mp4 (41.52 MB)
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74 Why Meta Data Is Important.mp4 (39.51 MB)
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75 System Development.mp4 (29.9 MB)
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76 Project Risk Assesment Factors.mp4 (46.31 MB)
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77 Managing Project Time.mp4 (36.93 MB)
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78 Prototyping Benefits.mp4 (61.44 MB)
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79 Incremental Development.mp4 (57.95 MB)
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8 change control board part 1.mp4 (57.24 MB)
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80 Incremental Development(Continues).mp4 (47.89 MB)
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81 What is Cluster Analysis.mp4 (48.92 MB)
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82 Types Of Clusters.mp4 (49.29 MB)
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83 Cluster Benefits.mp4 (35.64 MB)
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84 Kmeans Clustering Method.mp4 (85.92 MB)
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85 What Is The Problem With PAM.mp4 (61.58 MB)
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86 BIRCH (1996).mp4 (56.65 MB)
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87 Density Rechable And Density Conected.mp4 (52.84 MB)
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88 Denclue Technical Issues.mp4 (65.83 MB)
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89 The Wave Cluster Algorithm.mp4 (48.28 MB)
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9 change control board part 2.mp4 (48.57 MB)
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90 More On Conceptual Clustering.mp4 (60.83 MB)
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91 Clustering in Quest.mp4 (58.39 MB)
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92 Why Constraints Based Cluster Analysis.mp4 (51.78 MB)
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93 What Is Outlier Discovery.mp4 (41.91 MB)
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94 Segmentation In Data Mining.mp4 (46.46 MB)
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95 Bottle Neck Of GSP & Spade.mp4 (51.55 MB)
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96 Why Deal with Sequential Data.mp4 (41.57 MB)
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97 Algorithm Definition.mp4 (41.84 MB)
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98 Introduction To Regression Analysis.mp4 (35.33 MB)
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99 Regression Model.mp4 (53.01 MB)
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1 Introduction to Machine Learning with Tensorflow.mp4 (17.81 MB)
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10 Understanding what Anaconda cloud is.mp4 (80.81 MB)
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100 Run Optimizer.mp4 (13.62 MB)
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101 Create a Range.mp4 (51.39 MB)
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102 Introduction to Neural Networks.mp4 (5.6 MB)
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103 Basic-Concepts.mp4 (101.52 MB)
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104 Activative Functions.mp4 (99.94 MB)
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105 Activative Functions Input to Output.mp4 (57.71 MB)
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106 Classification Functions.mp4 (61.73 MB)
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107 Tensorflow-Playground.mp4 (136.67 MB)
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108 Mnist-Dataset.mp4 (54.37 MB)
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109 Mnist-Dataset Continue.mp4 (93.74 MB)
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11 Installation of Anaconda for Windows.mp4 (50.24 MB)
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110 More on Mnist-Dataset.mp4 (81.92 MB)
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12 Installation of Anaconda in Linux.mp4 (29.14 MB)
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13 Using the Jupyter notebook.mp4 (26.07 MB)
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14 Getting started with Anaconda.mp4 (136.15 MB)
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15 Determining options for Cloudberry.mp4 (39.5 MB)
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16 Introduction to Third Party Libraries.mp4 (8.19 MB)
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17 Numpy-Array.mp4 (98.02 MB)
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18 Numpy-Array Continue.mp4 (84.06 MB)
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19 Arrays.mp4 (110.36 MB)
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2 Understanding Machine Learning.mp4 (15.53 MB)
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20 Arrays Continue.mp4 (55.4 MB)
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21 Indexing.mp4 (63.27 MB)
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22 Indexing Continue.mp4 (85.07 MB)
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23 Universal Functions.mp4 (109.59 MB)
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24 Introoduction to Pandas.mp4 (26.05 MB)
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25 Pandas Series.mp4 (33.46 MB)
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26 Pandas Series Continue.mp4 (38.06 MB)
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27 Import Randin.mp4 (64.95 MB)
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28 Import Randin Continue.mp4 (72.36 MB)
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29 Paratmeters.mp4 (87.74 MB)
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3 How do Machines Learns.mp4 (51.9 MB)
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30 Indexing and Database.mp4 (37.89 MB)
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31 Missing Data.mp4 (30.29 MB)
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32 Missing Data-Groupby.mp4 (20.17 MB)
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33 Missing Data-Groupby Continue.mp4 (26.91 MB)
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34 Concat-Merge-Join.mp4 (79.93 MB)
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35 Operations.mp4 (48.07 MB)
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36 Import-Export.mp4 (104.65 MB)
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37 Python Visualisation.mp4 (49.04 MB)
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38 Mat Plotting.mp4 (63.41 MB)
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39 Multiple Plot Subsections.mp4 (62.39 MB)
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4 Uses of Machine Learning.mp4 (30.2 MB)
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40 API Functionality.mp4 (64.74 MB)
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41 Title of the Plot.mp4 (91.74 MB)
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42 Change Size of Articles.mp4 (59.74 MB)
MP4
43 Two Different Crops.mp4 (54.91 MB)
MP4
44 Mat Plotting Label.mp4 (49.34 MB)
MP4
45 Marker Color.mp4 (72.66 MB)
MP4
46 Create a New Dataframe.mp4 (40.2 MB)
MP4
47 Change the Style.mp4 (44.45 MB)
MP4
48 Index and Value.mp4 (41.34 MB)
MP4
49 Seaborn-Statistical Data Visualization.mp4 (59.05 MB)
MP4
5 Examples with tensorflow by Google.mp4 (57.33 MB)
MP4
50 seaborn library.mp4 (95.96 MB)
MP4
51 Jointplot.mp4 (81.96 MB)
MP4
52 Pairplot.mp4 (109.81 MB)
MP4
53 Barplot.mp4 (97.54 MB)
MP4
54 Boxplot.mp4 (49.35 MB)
MP4
55 Stripplot.mp4 (78.06 MB)
MP4
56 Matrix.mp4 (92.82 MB)
MP4
57 Matrix Continue.mp4 (33.32 MB)
MP4
58 Grid.mp4 (110.8 MB)
MP4
59 Grid Continue.mp4 (56.6 MB)
MP4
6 Setting up the Workstation.mp4 (7.05 MB)
MP4
60 Style.mp4 (14.88 MB)
MP4
61 Python Libraries Conclusion.mp4 (13.04 MB)
MP4
62 Introduction To Conda Envirement.mp4 (20.65 MB)
MP4
63 Scikit Learn.mp4 (17.28 MB)
MP4
64 Scikit Learn Continue.mp4 (41.74 MB)
MP4
65 Datasets.mp4 (30.2 MB)
MP4
66 California Dataset.mp4 (60.43 MB)
MP4
67 Data Visualization.mp4 (88.52 MB)
MP4
68 Datavisualization Continue.mp4 (55.48 MB)
MP4
69 Downloading a Test Data.mp4 (90.57 MB)
MP4
7 Understanding program languages.mp4 (6.47 MB)
MP4
70 Population Parameter.mp4 (78.78 MB)
MP4
71 Processing.mp4 (103.56 MB)
MP4
72 Null Values with Median Value.mp4 (80.13 MB)
MP4
73 Replace Missing Values.mp4 (32.48 MB)
MP4
74 Label Enconder.mp4 (26.01 MB)
MP4
75 Import Labelencoder.mp4 (90.68 MB)
MP4
76 Custom Transformation.mp4 (28.24 MB)
MP4
77 Transformer Custom Transformer.mp4 (55.99 MB)
MP4
78 Housing with Custom Colums.mp4 (57.03 MB)
MP4
79 Numeric Hosing Data.mp4 (120.21 MB)
MP4
8 Understanding and Functions of Jupyter.mp4 (65.22 MB)
MP4
80 Liner Regression.mp4 (49.62 MB)
MP4
81 Fine Tuning Model.mp4 (41.42 MB)
MP4
82 Fine Tuning Model Continue.mp4 (57.97 MB)
MP4
83 Quick-Recap.mp4 (5.34 MB)
MP4
84 Tensorflow.mp4 (57.74 MB)
MP4
85 Tensorflow-Hello-World.mp4 (54.61 MB)
MP4
86 Basic Ops.mp4 (78.33 MB)
MP4
87 Basic Ops Continue.mp4 (70.25 MB)
MP4
88 More on Basic Ops.mp4 (67.82 MB)
MP4
89 Eager-Mode.mp4 (48.81 MB)
MP4
9 Learning of Jupyter installation.mp4 (5.03 MB)
MP4
90 Concept.mp4 (37.5 MB)
MP4
91 Linear-Regression.mp4 (25.29 MB)
MP4
92 Linear-Model.mp4 (45.38 MB)
MP4
93 Matrix Multiplication Function.mp4 (75.51 MB)
MP4
94 Practice for a Simple Linear Model.mp4 (24.41 MB)
MP4
95 Cost Function.mp4 (23 MB)
MP4
96 Creative Optimizer.mp4 (36.15 MB)
MP4
97 RR Input and Output Value.mp4 (27.45 MB)
MP4
98 Logistic-Regression.mp4 (51.54 MB)
MP4
99 Global Variabales Initializer.mp4 (36.49 MB)
MP4
1 Introduction to Shipping and pricing.mp4 (25.71 MB)
MP4
10 Demand Forecasting.mp4 (85.18 MB)
MP4
11 Distribution of Attributes.mp4 (63.7 MB)
MP4
12 Spending Distribution.mp4 (82.71 MB)
MP4
13 Normalization and Discretization.mp4 (119.49 MB)
MP4
2 Inventory Status.mp4 (104.64 MB)
MP4
3 Defining Data Type.mp4 (95.45 MB)
MP4
4 Data for Validation.mp4 (103.31 MB)
MP4
5 Finding the Corelation.mp4 (72.67 MB)
MP4
6 Density for Numeric Attribute.mp4 (87.95 MB)
MP4
7 Method for Train Control.mp4 (50.49 MB)
MP4
8 Assigning a Training Set.mp4 (125.19 MB)
MP4
9 Mean Absolute Error.mp4 (71.41 MB)
MP4
1 Introduction to Supply Chain.mp4 (100.33 MB)
MP4
2 G Plot of Heatmap.mp4 (78.74 MB)
MP4
3 Checking the Function Argument.mp4 (121.19 MB)
MP4
4 Heatmap for Discretized Dataset.mp4 (88.57 MB)
MP4
5 Distinguished Methods with Single.mp4 (43.58 MB)
MP4
6 Analyzing both the Plots.mp4 (72.82 MB)
MP4
7 Defining the Lengths.mp4 (101.48 MB)
MP4
8 Using Different Clusters.mp4 (54.16 MB)
MP4
1 Introduction to Predicting Prices Using Regression.mp4 (58.9 MB)
MP4
10 Replacing Features with Values.mp4 (83.7 MB)
MP4
11 Assigning Quantatative Variables.mp4 (45.85 MB)
MP4
12 Converting Columns to Cordinal Forms.mp4 (48.86 MB)
MP4
13 Evaluating the Garage Finish Colummn.mp4 (66.17 MB)
MP4
14 Checking Shape of Data Frame.mp4 (14.85 MB)
MP4
15 Spliting Data to Train and Test.mp4 (68.82 MB)
MP4
16 Algorithm for Predicting Test Values.mp4 (28 MB)
MP4
2 Proximity to Various Conditions.mp4 (64.33 MB)
MP4
3 Number of Fire Places.mp4 (30.22 MB)
MP4
4 Adding the Test Value.mp4 (82.62 MB)
MP4
5 Index to the ID Column.mp4 (68.2 MB)
MP4
6 Model on Data Set.mp4 (82.18 MB)
MP4
7 Missing Value Imputation.mp4 (56.36 MB)
MP4
8 Substituting Features with Value.mp4 (91.78 MB)
MP4
9 Imputing a Row using at Command.mp4 (71.66 MB)
MP4
1 Introduction to Banking System.mp4 (17.11 MB)
MP4
2 Laon Status Grade.mp4 (93.48 MB)
MP4
3 Logistic Regression and Logistic Question.mp4 (64.51 MB)
MP4
4 Beta Value.mp4 (48.28 MB)
MP4
5 Predict Value.mp4 (77.81 MB)
MP4
6 Performance Value.mp4 (63.65 MB)
MP4
7 Fals Positive Rate.mp4 (43.36 MB)
MP4
1 Introduction to Fraud Detection in Credit Payments.mp4 (17.34 MB)
MP4
10 VRS.mp4 (107.45 MB)
MP4
11 CRS Efficiency and Efficiency.mp4 (53.08 MB)
MP4
2 Installation of Packages.mp4 (72.81 MB)
MP4
3 Risk Analytics.mp4 (82.51 MB)
MP4
4 Trading Companies and Stocks.mp4 (97.65 MB)
MP4
5 DEA with Input or Profit and Loss.mp4 (87.77 MB)
MP4
6 Efficiency Profit and Loss.mp4 (64.7 MB)
MP4
7 Rank Functions.mp4 (76.43 MB)
MP4
8 RHS Constaints.mp4 (89.36 MB)
MP4
9 Profit and Loss Report.mp4 (73.11 MB)
MP4
1 Introduction to Amazon Machine Learning (AML).mp4 (38.17 MB)
MP4
10 Example of Data Insight In AML.mp4 (66.84 MB)
MP4
11 More on Data Insight In AML.mp4 (54.56 MB)
MP4
12 ML Model Example in Data Sources.mp4 (90.65 MB)
MP4
13 Creating ML Model Evaluating.mp4 (84.59 MB)
MP4
14 Advanced Setting In ML Model.mp4 (38.45 MB)
MP4
15 Creating ML Model for Batch Prediction.mp4 (84.88 MB)
MP4
16 Batch Prediction Result.mp4 (47.6 MB)
MP4
17 Overvies of ML Model Handson.mp4 (65.32 MB)
MP4
18 ML objects Handson in ML.mp4 (45.62 MB)
MP4
2 Lifecycle of AML.mp4 (43.45 MB)
MP4
3 Connecting to Data Source in AML.mp4 (18.8 MB)
MP4
4 Creating Data Scheme in AML.mp4 (26.88 MB)
MP4
5 Invaild Value and Varible Target in AML.mp4 (4.4 MB)
MP4
6 ML Models in AML.mp4 (58.71 MB)
MP4
7 Manging ML Object in AML.mp4 (12.03 MB)
MP4
8 Creating DataSource Handson.mp4 (104.09 MB)
MP4
9 Creating DataSource Handson Continues.mp4 (69.96 MB)
MP4
1 Introduction to Deep Learning.mp4 (28.07 MB)
MP4
10 Data for Classifier.mp4 (49.77 MB)
MP4
11 Implementing with Keras.mp4 (45.53 MB)
MP4
12 Values in Data Set.mp4 (72.42 MB)
MP4
13 Components in Data Set.mp4 (79.13 MB)
MP4
14 Models in Data Set.mp4 (62.07 MB)
MP4
2 Structure of Neural Network.mp4 (35.21 MB)
MP4
3 Moving Through Neural Network.mp4 (38.03 MB)
MP4
4 Types of Activation Functions.mp4 (20.42 MB)
MP4
5 Optimizing Back Propagation.mp4 (44.97 MB)
MP4
6 Briefing on Tensor Flow.mp4 (35.78 MB)
MP4
7 Installation of Tensor Flow.mp4 (23.23 MB)
MP4
8 Implementatiion on Neural Package.mp4 (81.87 MB)
MP4
9 Implementatiion on Neural Package Continues.mp4 (69.05 MB)
MP4

Код:

 https://rapidgator.net/file/6ca655d70d60b2e83b6930689369d97c/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part01.rar
https://rapidgator.net/file/ed50e5a819fe93e4c11e7f8688e4cc83/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part02.rar
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https://rapidgator.net/file/3dec3af47ce41ba4109cf023d9db84a0/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part17.rar
https://rapidgator.net/file/eb14884bfdce24883ef2d34a7e86e848/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part18.rar
https://rapidgator.net/file/11bf62ed51fe311eab3a2256dd7d8205/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part19.rar
https://rapidgator.net/file/cc868b7c9ad92284dbae12c43b47870e/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part20.rar

Код:

 https://filestore.me/ees4nhgnzs64/Udemy_Machine_Learning_and_Business_Intelligence_Masterclass.part01.rar
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