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 ‚ 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 ‚ 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)
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43 Two Different Crops.mp4 (54.91 MB)
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44 Mat Plotting Label.mp4 (49.34 MB)
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45 Marker Color.mp4 (72.66 MB)
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46 Create a New Dataframe.mp4 (40.2 MB)
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47 Change the Style.mp4 (44.45 MB)
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48 Index and Value.mp4 (41.34 MB)
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49 Seaborn-Statistical Data Visualization.mp4 (59.05 MB)
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5 Examples with tensorflow by Google.mp4 (57.33 MB)
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50 seaborn library.mp4 (95.96 MB)
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51 Jointplot.mp4 (81.96 MB)
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52 Pairplot.mp4 (109.81 MB)
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53 Barplot.mp4 (97.54 MB)
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54 Boxplot.mp4 (49.35 MB)
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55 Stripplot.mp4 (78.06 MB)
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56 Matrix.mp4 (92.82 MB)
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57 Matrix Continue.mp4 (33.32 MB)
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58 Grid.mp4 (110.8 MB)
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59 Grid Continue.mp4 (56.6 MB)
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6 Setting up the Workstation.mp4 (7.05 MB)
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60 Style.mp4 (14.88 MB)
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61 Python Libraries Conclusion.mp4 (13.04 MB)
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62 Introduction To Conda Envirement.mp4 (20.65 MB)
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63 Scikit Learn.mp4 (17.28 MB)
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64 Scikit Learn Continue.mp4 (41.74 MB)
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65 Datasets.mp4 (30.2 MB)
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66 California Dataset.mp4 (60.43 MB)
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67 Data Visualization.mp4 (88.52 MB)
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68 Datavisualization Continue.mp4 (55.48 MB)
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69 Downloading a Test Data.mp4 (90.57 MB)
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7 Understanding program languages.mp4 (6.47 MB)
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70 Population Parameter.mp4 (78.78 MB)
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71 Processing.mp4 (103.56 MB)
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72 Null Values with Median Value.mp4 (80.13 MB)
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73 Replace Missing Values.mp4 (32.48 MB)
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74 Label Enconder.mp4 (26.01 MB)
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75 Import Labelencoder.mp4 (90.68 MB)
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76 Custom Transformation.mp4 (28.24 MB)
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77 Transformer Custom Transformer.mp4 (55.99 MB)
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78 Housing with Custom Colums.mp4 (57.03 MB)
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79 Numeric Hosing Data.mp4 (120.21 MB)
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8 Understanding and Functions of Jupyter.mp4 (65.22 MB)
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80 Liner Regression.mp4 (49.62 MB)
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81 Fine Tuning Model.mp4 (41.42 MB)
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82 Fine Tuning Model Continue.mp4 (57.97 MB)
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83 Quick-Recap.mp4 (5.34 MB)
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84 Tensorflow.mp4 (57.74 MB)
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85 Tensorflow-Hello-World.mp4 (54.61 MB)
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86 Basic Ops.mp4 (78.33 MB)
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87 Basic Ops Continue.mp4 (70.25 MB)
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88 More on Basic Ops.mp4 (67.82 MB)
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89 Eager-Mode.mp4 (48.81 MB)
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9 Learning of Jupyter installation.mp4 (5.03 MB)
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90 Concept.mp4 (37.5 MB)
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91 Linear-Regression.mp4 (25.29 MB)
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92 Linear-Model.mp4 (45.38 MB)
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93 Matrix Multiplication Function.mp4 (75.51 MB)
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94 Practice for a Simple Linear Model.mp4 (24.41 MB)
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95 Cost Function.mp4 (23 MB)
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96 Creative Optimizer.mp4 (36.15 MB)
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97 RR Input and Output Value.mp4 (27.45 MB)
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98 Logistic-Regression.mp4 (51.54 MB)
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99 Global Variabales Initializer.mp4 (36.49 MB)
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1 Introduction to Shipping and pricing.mp4 (25.71 MB)
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10 Demand Forecasting.mp4 (85.18 MB)
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11 Distribution of Attributes.mp4 (63.7 MB)
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12 Spending Distribution.mp4 (82.71 MB)
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13 Normalization and Discretization.mp4 (119.49 MB)
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2 Inventory Status.mp4 (104.64 MB)
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3 Defining Data Type.mp4 (95.45 MB)
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4 Data for Validation.mp4 (103.31 MB)
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5 Finding the Corelation.mp4 (72.67 MB)
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6 Density for Numeric Attribute.mp4 (87.95 MB)
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7 Method for Train Control.mp4 (50.49 MB)
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8 Assigning a Training Set.mp4 (125.19 MB)
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9 Mean Absolute Error.mp4 (71.41 MB)
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1 Introduction to Supply Chain.mp4 (100.33 MB)
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2 G Plot of Heatmap.mp4 (78.74 MB)
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3 Checking the Function Argument.mp4 (121.19 MB)
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4 Heatmap for Discretized Dataset.mp4 (88.57 MB)
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5 Distinguished Methods with Single.mp4 (43.58 MB)
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6 Analyzing both the Plots.mp4 (72.82 MB)
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7 Defining the Lengths.mp4 (101.48 MB)
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8 Using Different Clusters.mp4 (54.16 MB)
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1 Introduction to Predicting Prices Using Regression.mp4 (58.9 MB)
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10 Replacing Features with Values.mp4 (83.7 MB)
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11 Assigning Quantatative Variables.mp4 (45.85 MB)
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12 Converting Columns to Cordinal Forms.mp4 (48.86 MB)
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13 Evaluating the Garage Finish Colummn.mp4 (66.17 MB)
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14 Checking Shape of Data Frame.mp4 (14.85 MB)
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15 Spliting Data to Train and Test.mp4 (68.82 MB)
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16 Algorithm for Predicting Test Values.mp4 (28 MB)
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2 Proximity to Various Conditions.mp4 (64.33 MB)
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3 Number of Fire Places.mp4 (30.22 MB)
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4 Adding the Test Value.mp4 (82.62 MB)
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5 Index to the ID Column.mp4 (68.2 MB)
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6 Model on Data Set.mp4 (82.18 MB)
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7 Missing Value Imputation.mp4 (56.36 MB)
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8 Substituting Features with Value.mp4 (91.78 MB)
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9 Imputing a Row using at Command.mp4 (71.66 MB)
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1 Introduction to Banking System.mp4 (17.11 MB)
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2 Laon Status Grade.mp4 (93.48 MB)
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3 Logistic Regression and Logistic Question.mp4 (64.51 MB)
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4 Beta Value.mp4 (48.28 MB)
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5 Predict Value.mp4 (77.81 MB)
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6 Performance Value.mp4 (63.65 MB)
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7 Fals Positive Rate.mp4 (43.36 MB)
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1 Introduction to Fraud Detection in Credit Payments.mp4 (17.34 MB)
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10 VRS.mp4 (107.45 MB)
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11 CRS Efficiency and Efficiency.mp4 (53.08 MB)
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2 Installation of Packages.mp4 (72.81 MB)
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3 Risk Analytics.mp4 (82.51 MB)
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4 Trading Companies and Stocks.mp4 (97.65 MB)
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5 DEA with Input or Profit and Loss.mp4 (87.77 MB)
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6 Efficiency Profit and Loss.mp4 (64.7 MB)
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7 Rank Functions.mp4 (76.43 MB)
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8 RHS Constaints.mp4 (89.36 MB)
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9 Profit and Loss Report.mp4 (73.11 MB)
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1 Introduction to Amazon Machine Learning (AML).mp4 (38.17 MB)
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10 Example of Data Insight In AML.mp4 (66.84 MB)
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11 More on Data Insight In AML.mp4 (54.56 MB)
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12 ML Model Example in Data Sources.mp4 (90.65 MB)
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13 Creating ML Model Evaluating.mp4 (84.59 MB)
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14 Advanced Setting In ML Model.mp4 (38.45 MB)
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15 Creating ML Model for Batch Prediction.mp4 (84.88 MB)
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16 Batch Prediction Result.mp4 (47.6 MB)
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17 Overvies of ML Model Handson.mp4 (65.32 MB)
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18 ML objects Handson in ML.mp4 (45.62 MB)
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2 Lifecycle of AML.mp4 (43.45 MB)
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3 Connecting to Data Source in AML.mp4 (18.8 MB)
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4 Creating Data Scheme in AML.mp4 (26.88 MB)
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5 Invaild Value and Varible Target in AML.mp4 (4.4 MB)
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6 ML Models in AML.mp4 (58.71 MB)
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7 Manging ML Object in AML.mp4 (12.03 MB)
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8 Creating DataSource Handson.mp4 (104.09 MB)
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9 Creating DataSource Handson Continues.mp4 (69.96 MB)
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1 Introduction to Deep Learning.mp4 (28.07 MB)
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10 Data for Classifier.mp4 (49.77 MB)
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11 Implementing with Keras.mp4 (45.53 MB)
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12 Values in Data Set.mp4 (72.42 MB)
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13 Components in Data Set.mp4 (79.13 MB)
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14 Models in Data Set.mp4 (62.07 MB)
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2 Structure of Neural Network.mp4 (35.21 MB)
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3 Moving Through Neural Network.mp4 (38.03 MB)
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4 Types of Activation Functions.mp4 (20.42 MB)
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5 Optimizing Back Propagation.mp4 (44.97 MB)
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6 Briefing on Tensor Flow.mp4 (35.78 MB)
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7 Installation of Tensor Flow.mp4 (23.23 MB)
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8 Implementatiion on Neural Package.mp4 (81.87 MB)
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9 Implementatiion on Neural Package Continues.mp4 (69.05 MB)
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