Udemy Machine Learning and Business Intelligence Masterclass

[AD-TEAM]

Download Free Download : Udemy Machine Learning and Business Intelligence Masterclass
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)
MP4
10 Technical Terminology.mp4 (54.81 MB)
MP4
11 Error of Observation and Non Observation.mp4 (31.16 MB)
MP4
12 Systematic Sampling.mp4 (54.93 MB)
MP4
13 Cluster Sampling.mp4 (58.79 MB)
MP4
14 Statistics Data Types.mp4 (25.58 MB)
MP4
15 Qualitative Data and Visualization.mp4 (37.68 MB)
MP4
16 Machine Learning.mp4 (56.07 MB)
MP4
17 Relative Frequency Probability.mp4 (62.98 MB)
MP4
18 Joint Probability.mp4 (85.96 MB)
MP4
19 Conditional Probability.mp4 (42.77 MB)
MP4
2 Introduction to Machine Learning with Python.mp4 (6.51 MB)
MP4
20 Concept of Independence.mp4 (40.29 MB)
MP4
21 Total Probability.mp4 (57.65 MB)
MP4
22 Random Variable.mp4 (46.7 MB)
MP4
23 Probability Distribution.mp4 (68.79 MB)
MP4
24 Cumulative Probability Distribution.mp4 (37.58 MB)
MP4
25 Bernoulli Distribution.mp4 (38.7 MB)
MP4
26 Gaussian Distribution.mp4 (33.67 MB)
MP4
27 Geometric Distribution.mp4 (33.2 MB)
MP4
28 Continuous and Normal Distribution.mp4 (49.07 MB)
MP4
29 Mathematical Expression and Computation.mp4 (33.81 MB)
MP4
3 Analytics in Machine Learning.mp4 (47.02 MB)
MP4
30 Transpose of Matrix.mp4 (46.04 MB)
MP4
31 Properties of Matrix.mp4 (47.71 MB)
MP4
32 Determinants.mp4 (47.63 MB)
MP4
33 Error Types.mp4 (53.25 MB)
MP4
34 Critical Value Approach.mp4 (57.07 MB)
MP4
35 Right and Left Sided Critical Approach.mp4 (59.26 MB)
MP4
36 P-Value Approach.mp4 (79.83 MB)
MP4
37 P-Value Approach Continues.mp4 (55.79 MB)
MP4
38 Hypothesis Testing.mp4 (43.48 MB)
MP4
39 Left Tail Test.mp4 (22.89 MB)
MP4
4 Big Data Machine Learning.mp4 (50.99 MB)
MP4
40 Two Tail Test.mp4 (41.63 MB)
MP4
41 Confidence Interval.mp4 (52.66 MB)
MP4
42 Example of Confidence Interval.mp4 (62.95 MB)
MP4
43 Normal and Non Normal Distribution.mp4 (32.45 MB)
MP4
44 Normality Test.mp4 (45.71 MB)
MP4
45 Normality Test Continues.mp4 (40.98 MB)
MP4
46 Determining the Transformation.mp4 (22.14 MB)
MP4
47 T-Test.mp4 (45.19 MB)
MP4
48 T-Test Continue.mp4 (47.21 MB)
MP4
49 More on T-Test.mp4 (55.51 MB)
MP4
5 Emerging Trends Machine Learning.mp4 (72.39 MB)
MP4
50 Test of Independence.mp4 (53.96 MB)
MP4
51 Example of Test of Independence.mp4 (51.12 MB)
MP4
52 Goodness of Fit Test.mp4 (40.22 MB)
MP4
53 Example of Goodness of Fit Test.mp4 (37.92 MB)
MP4
54 Co-Variance.mp4 (17.98 MB)
MP4
55 Co-Variance Continues.mp4 (24.03 MB)
MP4
6 Data Mining.mp4 (43.82 MB)
MP4
7 Data Mining Continues.mp4 (67.72 MB)
MP4
8 Supervised and Unsupervised.mp4 (45.39 MB)
MP4
9 Sampling Method in Machine Learning.mp4 (31.14 MB)
MP4
1 Intoroduction to NLP.mp4 (32.71 MB)
MP4
10 Stemming and Lemmatization Continues.mp4 (61.21 MB)
MP4
11 Convert Token No Stopwords.mp4 (62.66 MB)
MP4
12 Machine Learning Algorithms.mp4 (60 MB)
MP4
2 Text Preprocessing.mp4 (39.4 MB)
MP4
3 Feature Extraction.mp4 (4.48 MB)
MP4
4 NLP Installation.mp4 (59.68 MB)
MP4
5 NLP - Demo.mp4 (89.43 MB)
MP4
6 Replacing Contractions.mp4 (135.02 MB)
MP4
7 Tokenize Dataset.mp4 (69.45 MB)
MP4
8 Remove Stopwords.mp4 (68.24 MB)
MP4
9 Stemming and Lemmatization.mp4 (96.02 MB)
MP4
1 Introduction to Bayesian Machine Learning.mp4 (36.81 MB)
MP4
2 Example of Bayesian Machine Learning.mp4 (31.87 MB)
MP4
3 Example of Bayesian Machine Learning Continues.mp4 (36.12 MB)
MP4
4 MCMC Module of PYMC Implementation.mp4 (43.41 MB)
MP4
5 Running the MCMC Module.mp4 (42.53 MB)
MP4
6 Multiple Variant Testing Using Hierarchial Model.mp4 (45.94 MB)
MP4
7 Example of Multiple Variant Testing.mp4 (29.37 MB)
MP4
8 Example of Multiple Variant Testing Continues.mp4 (52.25 MB)
MP4
1 Introduction to Machine Learning with Python.mp4 (58.24 MB)
MP4
10 2 10 Problem and Solution.mp4 (79.67 MB)
MP4
100 Diagnostic Checking.mp4 (60.55 MB)
MP4
101 Forecasting Using Stock Price.mp4 (108.89 MB)
MP4
102 Stock Price Index.mp4 (99.86 MB)
MP4
103 Stock Price Index Continues.mp4 (95.15 MB)
MP4
104 Prophet Stock.mp4 (50.05 MB)
MP4
105 Run Prophet Stock.mp4 (78.2 MB)
MP4
106 Time Series Data Denationalization.mp4 (101.31 MB)
MP4
107 Time Series Data Denationalization Continues.mp4 (78.47 MB)
MP4
108 Average of Quarter Denationalization.mp4 (126.96 MB)
MP4
109 Regression of Denationalization.mp4 (103.76 MB)
MP4
11 Exponentiation Right to Left.mp4 (53.17 MB)
MP4
110 Gradient Boosting Machines.mp4 (66.99 MB)
MP4
111 Errors in Gradient Boosting Machines.mp4 (57.59 MB)
MP4
112 What is Error Rate in Gradient Boosting Machines.mp4 (57.54 MB)
MP4
113 Optimization Gradient Boosting Machines.mp4 (51.82 MB)
MP4
114 Gradient Boosting Trees (GBT).mp4 (38.38 MB)
MP4
115 Dataset Boosting in Gradient.mp4 (96.44 MB)
MP4
116 Example of Dataset Boosting in Gradient.mp4 (95.8 MB)
MP4
117 Example of Dataset Boosting in Gradient Continues.mp4 (113.24 MB)
MP4
118 Market Basket Analysis Association Rules.mp4 (98.38 MB)
MP4
119 Market Basket Analysis Association Rules Continues.mp4 (78.29 MB)
MP4
12 2 13 Avoiding Some Common Mistakes.mp4 (69.81 MB)
MP4
120 Market Basket Analysis Interpretation.mp4 (50.27 MB)
MP4
121 Implementation of Market Basket Analysis.mp4 (30.31 MB)
MP4
122 Example of Market Basket Analysis.mp4 (84.77 MB)
MP4
123 Datamining in Market Basket Analysis.mp4 (85.96 MB)
MP4
124 Market Basket Analysis Using Rstudio.mp4 (78.53 MB)
MP4
125 Market Basket Analysis Using Rstudio Continues.mp4 (94.12 MB)
MP4
126 More on Rstudio in Market Analysis.mp4 (122.51 MB)
MP4
127 New Development in Machine Learning.mp4 (93.22 MB)
MP4
128 Data Scientist in Machine Learnirng.mp4 (74.04 MB)
MP4
129 Types of Detection in Machine Learning.mp4 (102.85 MB)
MP4
13 Simple Linear Regression.mp4 (68.15 MB)
MP4
130 Example of New Development in Machine Learning.mp4 (79.22 MB)
MP4
131 Example of New Development in Machine Learning Continues.mp4 (53.14 MB)
MP4
14 Simple Linear Regression Continues.mp4 (39.7 MB)
MP4
15 What is Rsquare.mp4 (77.57 MB)
MP4
16 Standard Error.mp4 (54.55 MB)
MP4
17 General Statistics.mp4 (52.34 MB)
MP4
18 General Statistics Continues.mp4 (50.22 MB)
MP4
19 Simple Linear Regression and More of Statistics.mp4 (69.26 MB)
MP4
2 How do Machine Learn.mp4 (51.65 MB)
MP4
20 Open the Studio.mp4 (40.39 MB)
MP4
21 What is R Square.mp4 (79.5 MB)
MP4
22 What is STD Error.mp4 (55.37 MB)
MP4
23 Reject Null Hypothesis.mp4 (84.22 MB)
MP4
24 Variance Covariance and Correlation.mp4 (81.88 MB)
MP4
25 Root names and Types of Distribution Function.mp4 (71.7 MB)
MP4
26 Generating Random Numbers and Combination Function.mp4 (63.1 MB)
MP4
27 Probabilities for Discrete Distribution Function.mp4 (83.57 MB)
MP4
28 Quantile Function and Poison Distribution.mp4 (77.3 MB)
MP4
29 Students T Distribution, Hypothesis and Example.mp4 (63.2 MB)
MP4
3 Steps to Apply Machine Learning.mp4 (45.68 MB)
MP4
30 Chai-Square Distribution.mp4 (41.32 MB)
MP4
31 Data Visualization.mp4 (77.79 MB)
MP4
32 More on Data Visualization.mp4 (70.52 MB)
MP4
33 Multiple Linear Regression.mp4 (90.37 MB)
MP4
34 Multiple Linear Regression Continues.mp4 (69.97 MB)
MP4
35 Regression Variables.mp4 (101.45 MB)
MP4
36 Generalized Linear Model.mp4 (93.7 MB)
MP4
37 Generalized Least Square.mp4 (88.78 MB)
MP4
38 KNN- Various Methods of Distance Measurements.mp4 (52.95 MB)
MP4
39 Overview of KNN- (Steps involved).mp4 (71.09 MB)
MP4
4 Regression and Classification Problems.mp4 (62.37 MB)
MP4
40 Data normalization and prediction on Test Data.mp4 (86.41 MB)
MP4
41 Improvement of Model Performance and ROC.mp4 (85.08 MB)
MP4
42 Decision Tree Classifier.mp4 (57.8 MB)
MP4
43 More on Decision Tree Classifier.mp4 (81.49 MB)
MP4
44 Pruning of Decision Trees.mp4 (83.83 MB)
MP4
45 Decision Tree Remaining.mp4 (61.1 MB)
MP4
46 Decision Tree Remaining Continues.mp4 (46.69 MB)
MP4
47 General concept of Random Forest.mp4 (64.29 MB)
MP4
48 Ada Boosting and Ensemble Learning.mp4 (95.22 MB)
MP4
49 Data Visualization and Preparation.mp4 (89.27 MB)
MP4
5 Basic Data Manipulation in R.mp4 (71.67 MB)
MP4
50 Tuning Random Forest Model.mp4 (63.4 MB)
MP4
51 Evaluation of Random Forest Model Performance.mp4 (65.87 MB)
MP4
52 Introduction to Kmeans Clustering.mp4 (75.06 MB)
MP4
53 Kmeans Elbow Point and Dataset.mp4 (90.5 MB)
MP4
54 Example of Kmeans Dataset.mp4 (122.64 MB)
MP4
55 Creating a Graph for Kmeans Clustering.mp4 (126.68 MB)
MP4
56 Creating a Graph for Kmeans Clustering Continues.mp4 (90.63 MB)
MP4
57 Aggregation Function of Clustering.mp4 (78.45 MB)
MP4
58 Conditional Probability with Bayes Algorithm.mp4 (82.98 MB)
MP4
59 Venn Diagram Naive Bayes Classification.mp4 (61.64 MB)
MP4
6 More on Data Manipulation in R.mp4 (62.13 MB)
MP4
60 Component OF Bayes Theorem using Frequency Table.mp4 (86.97 MB)
MP4
61 Naive Bayes Classification Algorithm and Laplace Estimator.mp4 (70.39 MB)
MP4
62 Example of Naive Bayes Classification.mp4 (81.65 MB)
MP4
63 Example of Naive Bayes Classification Continues.mp4 (100.11 MB)
MP4
64 Spam and Ham Messages in Word Cloud.mp4 (90.2 MB)
MP4
65 Implementation of Dictionary and Document Term Matrix.mp4 (81.47 MB)
MP4
66 Executes the Function Naive Bayes.mp4 (89.85 MB)
MP4
67 Support Vector Machine with Black Box Method.mp4 (59.62 MB)
MP4
68 Linearly and Non- Linearly Support Vector Machine.mp4 (52.98 MB)
MP4
69 Kernal Trick.mp4 (57.18 MB)
MP4
7 Basic Data Manipulation in R - Practical.mp4 (71.74 MB)
MP4
70 Gaussian RBF Kernal and OCR with SVMs.mp4 (81.17 MB)
MP4
71 Examples of Gaussian RBF Kernal and OCR with SVMs.mp4 (76.92 MB)
MP4
72 Summary of Support Vector Machine.mp4 (78.27 MB)
MP4
73 Feature Selection Dimension Reduction Technique.mp4 (86.69 MB)
MP4
74 Feature Extraction Dimension Reduction Technique.mp4 (82.52 MB)
MP4
75 Dimension Reduction Technique Example.mp4 (88.09 MB)
MP4
76 Dimension Reduction Technique Example Continues.mp4 (84.18 MB)
MP4
77 Introduction Principal Component Analysis.mp4 (66.73 MB)
MP4
78 Steps of PCA.mp4 (61.42 MB)
MP4
79 Steps of PCA Continues.mp4 (59.87 MB)
MP4
8 Create a Vector.mp4 (63.57 MB)
MP4
80 Eigen Values.mp4 (37.75 MB)
MP4
81 Eigen Vectors.mp4 (39.57 MB)
MP4
82 Principal Component Analysis using Pr-Comp.mp4 (104.05 MB)
MP4
83 Principal Component Analysis using Pr-Comp Continues.mp4 (76.54 MB)
MP4
84 C Bind Type in PCA.mp4 (89.64 MB)
MP4
85 R Type Model.mp4 (121.29 MB)
MP4
86 Black Box Method in Neural Network.mp4 (87.36 MB)
MP4
87 Characteristics of a Neural Networks.mp4 (72.68 MB)
MP4
88 Network Topology of a Neural Networks.mp4 (70.49 MB)
MP4
89 Weight Adjustment and Case Update.mp4 (80.93 MB)
MP4
9 2 7 Problem and Solution.mp4 (69.88 MB)
MP4
90 Introduction Model Building in R.mp4 (100.92 MB)
MP4
91 Installing the Package of Model Building in R.mp4 (88.48 MB)
MP4
92 Nodes in Model Building in R.mp4 (70.8 MB)
MP4
93 Example of Model Building in R.mp4 (81.59 MB)
MP4
94 Time Series Analysis.mp4 (68.49 MB)
MP4
95 Pattern in Time Series Data.mp4 (51.01 MB)
MP4
96 Time Series Modelling.mp4 (55.93 MB)
MP4
97 Moving Average Model.mp4 (67.2 MB)
MP4
98 Auto Correlation Function.mp4 (43.08 MB)
MP4
99 Inference of ACF and PFCF.mp4 (45.21 MB)
MP4
1 Introduction to BIP.mp4 (21 MB)
MP4
10 Siebel Applets ‚ Business Obejct and Business Components Part 2.mp4 (90.34 MB)
MP4
11 IntegrationObjectsANDIntegrationObjectComponents.mp4 (101.06 MB)
MP4
12 Siebel Views and View Associations to Reports.mp4 (82.76 MB)
MP4
13 Siebel HI-OpenUI framworks for BIP Reports and demo of AddIn.mp4 (42.71 MB)
MP4
14 Process Flow Overview.mp4 (51.8 MB)
MP4
15 Process Flow ConnectedMode.mp4 (42.29 MB)
MP4
16 Process Flow DisconnectedMode.mp4 (42.11 MB)
MP4
17 Siebel Report Business Service.mp4 (77.33 MB)
MP4
2 User Types.mp4 (10.37 MB)
MP4
3 Running Modes.mp4 (33.51 MB)
MP4
4 Learning about BIP Add-Ins.mp4 (59.8 MB)
MP4
5 BIP Into 5 BIP AddIn2 and BIP Into 6.mp4 (64.34 MB)
MP4
6 BIP Into 7 Customized Reports Overview.mp4 (59.34 MB)
MP4
7 BIP Into 8 Developing Reports Overview.mp4 (19.13 MB)
MP4
8 Showing Report Views on Application.mp4 (110.09 MB)
MP4
9 Siebel Applets ‚ Business Obejct and Business Components Part 1.mp4 (87.32 MB)
MP4
1 BI Intro,definition.mp4 (51.18 MB)
MP4
10 planning deliverables,stage 3.mp4 (34.1 MB)
MP4
100 Regression Model(Continues).mp4 (44.73 MB)
MP4
101 Market Basket Analysis Applications.mp4 (46.7 MB)
MP4
102 Market Basket Analysis Applications(Continues).mp4 (35.92 MB)
MP4
11 Project Requirement,Data Analysis,Application part 1.mp4 (52.96 MB)
MP4
12 Project Requirement,Data Analysis,Application part 2.mp4 (65.1 MB)
MP4
13 Project Requirement,Data Analysis,Application part 3.mp4 (46.97 MB)
MP4
14 Meta Data.mp4 (11.09 MB)
MP4
15 data standardisation,meta data,etl,business analysis part 1.mp4 (61.46 MB)
MP4
16 data standardisation,meta data,etl,business analysis part 2.mp4 (51.13 MB)
MP4
17 data standardisation,meta data,etl,business analysis part 3.mp4 (20.51 MB)
MP4
18 ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 1.mp4 (47.13 MB)
MP4
19 ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 2.mp4 (65.34 MB)
MP4
2 multidimensional db part 1.mp4 (50.1 MB)
MP4
20 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 1.mp4 (46.65 MB)
MP4
21 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 2.mp4 (17.36 MB)
MP4
22 ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 3.mp4 (60.84 MB)
MP4
23 database & recovery,release evaluation.mp4 (30.52 MB)
MP4
24 post implementation review,toyota case.mp4 (44.87 MB)
MP4
25 frame work for BI Part 1.mp4 (58.7 MB)
MP4
26 frame work for BI Part 2.mp4 (56.08 MB)
MP4
27 frame work for BI Part 3.mp4 (33.11 MB)
MP4
28 frame work for BI Part 4.mp4 (38.17 MB)
MP4
29 strategic imperitive of BI Part 1.mp4 (49.27 MB)
MP4
3 multidimensional db part 2.mp4 (61.18 MB)
MP4
30 strategic imperitive of BI Part 2.mp4 (41.75 MB)
MP4
31 Target System.mp4 (47.81 MB)
MP4
32 Data warehouse and ETL.mp4 (33.03 MB)
MP4
33 Facebook dataspace management with open source tools.mp4 (38.35 MB)
MP4
34 Agile Development Process.mp4 (34.55 MB)
MP4
35 Agile Development Process Continues.mp4 (44.65 MB)
MP4
36 Challenges on dash board.mp4 (32.27 MB)
MP4
37 Building Users Expert Profile.mp4 (62.76 MB)
MP4
38 Semantic Technologies.mp4 (53.11 MB)
MP4
39 Semantic Tools.mp4 (53.65 MB)
MP4
4 multidimensional db part 3.mp4 (56.1 MB)
MP4
40 BI Algorithm By Example.mp4 (42.01 MB)
MP4
41 Benefits of BI.mp4 (27.67 MB)
MP4
42 Benefits of BI Continues.mp4 (43.65 MB)
MP4
43 Amazon com and Net Flix.mp4 (38.96 MB)
MP4
44 What is Information Governance.mp4 (49.97 MB)
MP4
45 Other BI Applications are used to store.mp4 (45.26 MB)
MP4
46 Designing and Implementing BI Program.mp4 (46.72 MB)
MP4
47 ETL.mp4 (37.36 MB)
MP4
48 ETL Continues.mp4 (30.78 MB)
MP4
49 Loading.mp4 (35.05 MB)
MP4
5 dbms platform.mp4 (11.8 MB)
MP4
50 Type 2 Dimension.mp4 (51.91 MB)
MP4
51 Loading Fact Tables.mp4 (47.38 MB)
MP4
52 Genearl Idea.mp4 (41.39 MB)
MP4
53 Conceptual Model.mp4 (36.89 MB)
MP4
54 Conceptual Model Continues.mp4 (49.97 MB)
MP4
55 On Going Or Future Works.mp4 (51.42 MB)
MP4
56 Why Meta Data.mp4 (42.76 MB)
MP4
57 Essentials Capabilities.mp4 (27.42 MB)
MP4
58 Common Warehouse Metamodels.mp4 (30.75 MB)
MP4
59 Data Advantage Group.mp4 (53.99 MB)
MP4
6 technical non technical infrastructre part 1.mp4 (43.12 MB)
MP4
60 DBMS Meta Data Tips.mp4 (64.3 MB)
MP4
61 For Building The Dataware house(Extraction Team).mp4 (51.68 MB)
MP4
62 Meta Data Essentials For IT.mp4 (48.64 MB)
MP4
63 Business Metadata.mp4 (41.08 MB)
MP4
64 Business Meta Data (Continues).mp4 (24.2 MB)
MP4
65 Project Planning.mp4 (56.85 MB)
MP4
66 Project Planning (Continues).mp4 (31.19 MB)
MP4
67 Deployment Process.mp4 (74.43 MB)
MP4
68 Chapter Outline.mp4 (39.33 MB)
MP4
69 Break-Even Analysis.mp4 (37.83 MB)
MP4
7 technical non technical infrastructre part 2.mp4 (51.18 MB)
MP4
70 Examples Of Break-Even Analysis.mp4 (43.71 MB)
MP4
71 Multivirate Analysis.mp4 (49.95 MB)
MP4
72 Multivirate Analysis (Continues).mp4 (30.92 MB)
MP4
73 Graphs.mp4 (41.52 MB)
MP4
74 Why Meta Data Is Important.mp4 (39.51 MB)
MP4
75 System Development.mp4 (29.9 MB)
MP4
76 Project Risk Assesment Factors.mp4 (46.31 MB)
MP4
77 Managing Project Time.mp4 (36.93 MB)
MP4
78 Prototyping Benefits.mp4 (61.44 MB)
MP4
79 Incremental Development.mp4 (57.95 MB)
MP4
8 change control board part 1.mp4 (57.24 MB)
MP4
80 Incremental Development(Continues).mp4 (47.89 MB)
MP4
81 What is Cluster Analysis.mp4 (48.92 MB)
MP4
82 Types Of Clusters.mp4 (49.29 MB)
MP4
83 Cluster Benefits.mp4 (35.64 MB)
MP4
84 Kmeans Clustering Method.mp4 (85.92 MB)
MP4
85 What Is The Problem With PAM.mp4 (61.58 MB)
MP4
86 BIRCH (1996).mp4 (56.65 MB)
MP4
87 Density Rechable And Density Conected.mp4 (52.84 MB)
MP4
88 Denclue Technical Issues.mp4 (65.83 MB)
MP4
89 The Wave Cluster Algorithm.mp4 (48.28 MB)
MP4
9 change control board part 2.mp4 (48.57 MB)
MP4
90 More On Conceptual Clustering.mp4 (60.83 MB)
MP4
91 Clustering in Quest.mp4 (58.39 MB)
MP4
92 Why Constraints Based Cluster Analysis.mp4 (51.78 MB)
MP4
93 What Is Outlier Discovery.mp4 (41.91 MB)
MP4
94 Segmentation In Data Mining.mp4 (46.46 MB)
MP4
95 Bottle Neck Of GSP & Spade.mp4 (51.55 MB)
MP4
96 Why Deal with Sequential Data.mp4 (41.57 MB)
MP4
97 Algorithm Definition.mp4 (41.84 MB)
MP4
98 Introduction To Regression Analysis.mp4 (35.33 MB)
MP4
99 Regression Model.mp4 (53.01 MB)
MP4
1 Introduction to Machine Learning with Tensorflow.mp4 (17.81 MB)
MP4
10 Understanding what Anaconda cloud is.mp4 (80.81 MB)
MP4
100 Run Optimizer.mp4 (13.62 MB)
MP4
101 Create a Range.mp4 (51.39 MB)
MP4
102 Introduction to Neural Networks.mp4 (5.6 MB)
MP4
103 Basic-Concepts.mp4 (101.52 MB)
MP4
104 Activative Functions.mp4 (99.94 MB)
MP4
105 Activative Functions Input to Output.mp4 (57.71 MB)
MP4
106 Classification Functions.mp4 (61.73 MB)
MP4
107 Tensorflow-Playground.mp4 (136.67 MB)
MP4
108 Mnist-Dataset.mp4 (54.37 MB)
MP4
109 Mnist-Dataset Continue.mp4 (93.74 MB)
MP4
11 Installation of Anaconda for Windows.mp4 (50.24 MB)
MP4
110 More on Mnist-Dataset.mp4 (81.92 MB)
MP4
12 Installation of Anaconda in Linux.mp4 (29.14 MB)
MP4
13 Using the Jupyter notebook.mp4 (26.07 MB)
MP4
14 Getting started with Anaconda.mp4 (136.15 MB)
MP4
15 Determining options for Cloudberry.mp4 (39.5 MB)
MP4
16 Introduction to Third Party Libraries.mp4 (8.19 MB)
MP4
17 Numpy-Array.mp4 (98.02 MB)
MP4
18 Numpy-Array Continue.mp4 (84.06 MB)
MP4
19 Arrays.mp4 (110.36 MB)
MP4
2 Understanding Machine Learning.mp4 (15.53 MB)
MP4
20 Arrays Continue.mp4 (55.4 MB)
MP4
21 Indexing.mp4 (63.27 MB)
MP4
22 Indexing Continue.mp4 (85.07 MB)
MP4
23 Universal Functions.mp4 (109.59 MB)
MP4
24 Introoduction to Pandas.mp4 (26.05 MB)
MP4
25 Pandas Series.mp4 (33.46 MB)
MP4
26 Pandas Series Continue.mp4 (38.06 MB)
MP4
27 Import Randin.mp4 (64.95 MB)
MP4
28 Import Randin Continue.mp4 (72.36 MB)
MP4
29 Paratmeters.mp4 (87.74 MB)
MP4
3 How do Machines Learns.mp4 (51.9 MB)
MP4
30 Indexing and Database.mp4 (37.89 MB)
MP4
31 Missing Data.mp4 (30.29 MB)
MP4
32 Missing Data-Groupby.mp4 (20.17 MB)
MP4
33 Missing Data-Groupby Continue.mp4 (26.91 MB)
MP4
34 Concat-Merge-Join.mp4 (79.93 MB)
MP4
35 Operations.mp4 (48.07 MB)
MP4
36 Import-Export.mp4 (104.65 MB)
MP4
37 Python Visualisation.mp4 (49.04 MB)
MP4
38 Mat Plotting.mp4 (63.41 MB)
MP4
39 Multiple Plot Subsections.mp4 (62.39 MB)
MP4
4 Uses of Machine Learning.mp4 (30.2 MB)
MP4
40 API Functionality.mp4 (64.74 MB)
MP4
41 Title of the Plot.mp4 (91.74 MB)
MP4
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

[To see links please register or login]

[To see links please register or login]

[To see links please register or login]