[FTUForum.com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]

File Name

Size

01. Basics of Machine Learning/1. What You Will Learn in This Section.mp4

19 MB

01. Basics of Machine Learning/1. What You Will Learn in This Section.vtt

2.3 kB

01. Basics of Machine Learning/2.10 Section 09 - Data Processing.pdf.pdf

2.8 MB

01. Basics of Machine Learning/2.11 Section 04 - Classification - 002 - Decision Tree.pdf.pdf

3.4 MB

01. Basics of Machine Learning/2.12 Section 11 - Recommendation System.pdf.pdf

3.1 MB

01. Basics of Machine Learning/2.13 Section - Text Analytics.pdf.pdf

2.0 MB

01. Basics of Machine Learning/2.14 Section 03 - Data Pre-processing.pdf.pdf

1.0 MB

01. Basics of Machine Learning/2.1 Section 01 - Basics of Machine Learning.pdf.pdf

1.8 MB

01. Basics of Machine Learning/2.2 Section 06 - Deploy Webservice.pdf.pdf

702 kB

01. Basics of Machine Learning/2.3 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf

1.4 MB

01. Basics of Machine Learning/2.4 Section 02 - Getting Started with AzureML.pdf.pdf

2.7 MB

01. Basics of Machine Learning/2.5 Section 04 - Classification - 003 - SVM.pdf.pdf

1.1 MB

01. Basics of Machine Learning/2.6 Section 08 - Clustering.pdf.pdf

1.5 MB

01. Basics of Machine Learning/2.7 Section 05 - Tune Hyperparameter.pdf.pdf

1.2 MB

01. Basics of Machine Learning/2.8 Section 07 - Regression.pdf.pdf

2.8 MB

01. Basics of Machine Learning/2.9 Section 10 - Feature Selection.pdf.pdf

2.9 MB

01. Basics of Machine Learning/2. The course slides for all sections.html

336 B

01. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4

19 MB

01. Basics of Machine Learning/3. Important Message About Udemy Reviews.vtt

3.8 kB

01. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4

69 MB

01. Basics of Machine Learning/4. Why Machine Learning is the Future.vtt

9.2 kB

01. Basics of Machine Learning/5. What is Machine Learning.mp4

55 MB

01. Basics of Machine Learning/5. What is Machine Learning.vtt

9.7 kB

01. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.mp4

14 MB

01. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.vtt

7.1 kB

01. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4

13 MB

01. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt

7.5 kB

01. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4

19 MB

01. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt

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01. Basics of Machine Learning/9. Basics of Machine Learning.html

136 B

02. Getting Started with Azure ML/1. What You Will Learn in This Section.mp4

13 MB

02. Getting Started with Azure ML/1. What You Will Learn in This Section.vtt

2.1 kB

02. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4

23 MB

02. Getting Started with Azure ML/2. What is Azure ML and high level architecture..vtt

3.5 kB

02. Getting Started with Azure ML/3. Creating a Free Azure ML Account.mp4

5.4 MB

02. Getting Started with Azure ML/3. Creating a Free Azure ML Account.vtt

2.2 kB

02. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.mp4

12 MB

02. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.vtt

4.5 kB

02. Getting Started with Azure ML/5. Azure ML Experiment Workflow.mp4

13 MB

02. Getting Started with Azure ML/5. Azure ML Experiment Workflow.vtt

6.7 kB

02. Getting Started with Azure ML/6.1 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf

404 kB

02. Getting Started with Azure ML/6.2 ml_studio_overview_v1.1.pdf.pdf

2.2 MB

02. Getting Started with Azure ML/6. Azure ML Cheat Sheet for Model Selection.mp4

11 MB

02. Getting Started with Azure ML/6. Azure ML Cheat Sheet for Model Selection.vtt

5.8 kB

02. Getting Started with Azure ML/7. Getting Started with AzureML.html

136 B

03. Data Processing/1.1 Employee Dataset - Full.csv.csv

1.9 kB

03. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4

19 MB

03. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.vtt

7.2 kB

03. Data Processing/2.1 Employee Dataset - Full.zip.zip

773 B

03. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.mp4

22 MB

03. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.vtt

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03. Data Processing/3.1 Adult Dataset URL.txt.txt

74 B

03. Data Processing/3. [Hands On] - Data Input-Output - Import Data.mp4

13 MB

03. Data Processing/3. [Hands On] - Data Input-Output - Import Data.vtt

5.7 kB

03. Data Processing/4.1 Employee Dataset - AC1.csv.csv

1.6 kB

03. Data Processing/4.2 Employee Dataset - AR2.csv.csv

1.3 kB

03. Data Processing/4.3 Employee Dataset - AC2.csv.csv

260 B

03. Data Processing/4.4 Employee Dataset - AR1.csv.csv

672 B

03. Data Processing/4.5 Employee Dataset - TSV.txt.txt

1.9 kB

03. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4

26 MB

03. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.vtt

10 kB

03. Data Processing/5.1 Wine Quality Dataset.csv.csv

84 kB

03. Data Processing/5.2 SQL Statement - Wine.txt.txt

141 B

03. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4

39 MB

03. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt

16 kB

03. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4

36 MB

03. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.vtt

14 kB

03. Data Processing/7. Data Processing.html

136 B

04. Classification/10.1 Bank Telemarketing.csv.csv

4.7 MB

04. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4

25 MB

04. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.vtt

9.0 kB

04. Classification/11. Decision Forest - Parameters Explained.mp4

5.8 MB

04. Classification/11. Decision Forest - Parameters Explained.vtt

3.4 kB

04. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4

35 MB

04. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.vtt

12 kB

04. Classification/13.1 IRIS Dataset Link.txt.txt

74 B

04. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4

19 MB

04. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt

7.0 kB

04. Classification/14. SVM - What is Support Vector Machine.mp4

7.1 MB

04. Classification/14. SVM - What is Support Vector Machine.vtt

3.5 kB

04. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.mp4

14 MB

04. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.vtt

5.0 kB

04. Classification/16. Classification Quiz.html

136 B

04. Classification/1. Logistic Regression - What is Logistic Regression.mp4

12 MB

04. Classification/1. Logistic Regression - What is Logistic Regression.vtt

5.8 kB

04. Classification/2.1 Loan Approval Prediction.csv.csv

37 kB

04. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4

52 MB

04. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.vtt

20 kB

04. Classification/3. Logistic Regression - Understand Parameters and Their Impact.mp4

20 MB

04. Classification/3. Logistic Regression - Understand Parameters and Their Impact.vtt

11 kB

04. Classification/4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx

24 kB

04. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4

29 MB

04. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt

12 kB

04. Classification/5. Logistic Regression - Model Selection and Impact Analysis.mp4

14 MB

04. Classification/5. Logistic Regression - Model Selection and Impact Analysis.vtt

5.0 kB

04. Classification/6.1 winequality-red.csv.csv

84 kB

04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4

20 MB

04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt

7.5 kB

04. Classification/7. Decision Tree - What is Decision Tree.mp4

14 MB

04. Classification/7. Decision Tree - What is Decision Tree.vtt

7.0 kB

04. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4

13 MB

04. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt

6.6 kB

04. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4

12 MB

04. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt

5.4 kB

05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4

22 MB

05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt

8.7 kB

05. Hyperparameter Tuning/2. Hyperparameter Tuning.html

136 B

06. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.mp4

5.6 MB

06. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.vtt

2.3 kB

06. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4

9.2 MB

06. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt

9.2 MB

06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4

17 MB

06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.vtt

6.1 kB

06. Deploy Webservice/4. AzureML Web Service.html

137 B

07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4

17 MB

07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt

5.7 kB

07. Regression Analysis/11. Regression Analysis.html

137 B

07. Regression Analysis/1. What is Linear Regression.mp4

14 MB

07. Regression Analysis/1. What is Linear Regression.vtt

5.3 kB

07. Regression Analysis/2. Regression Analysis - Common Metrics.mp4

13 MB

07. Regression Analysis/2. Regression Analysis - Common Metrics.vtt

5.6 kB

07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4

91 MB

07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.vtt

9.7 kB

07. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.mp4

10 MB

07. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.vtt

3.8 kB

07. Regression Analysis/5. Gradient Descent.mp4

28 MB

07. Regression Analysis/5. Gradient Descent.vtt

9.1 kB

07. Regression Analysis/6. Linear Regression Online Gradient Descent.mp4

6.7 MB

07. Regression Analysis/6. Linear Regression Online Gradient Descent.vtt

2.0 kB

07. Regression Analysis/7. [Hands On] - Experiment Online Gradient.mp4

11 MB

07. Regression Analysis/7. [Hands On] - Experiment Online Gradient.vtt

3.9 kB

07. Regression Analysis/8. Decision Tree - What is Regression Tree.mp4

12 MB

07. Regression Analysis/8. Decision Tree - What is Regression Tree.vtt

5.5 kB

07. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.mp4

4.3 MB

07. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.vtt

1.8 kB

08. Clustering/1. What is Cluster Analysis.mp4

22 MB

08. Clustering/1. What is Cluster Analysis.vtt

9.8 kB

08. Clustering/2.1 Callcenter Data.csv.csv

831 B

08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4

31 MB

08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.vtt

12 kB

08. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4

18 MB

08. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt

6.6 kB

08. Clustering/4. Clustering or Cluster Analysis.html

137 B

09. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.mp4

5.3 MB

09. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.vtt

2.7 kB

09. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.mp4

5.9 MB

09. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.vtt

2.2 kB

09. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.mp4

11 MB

09. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.vtt

5.5 kB

09. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.mp4

7.4 MB

09. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.vtt

3.2 kB

09. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.mp4

10 MB

09. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.vtt

5.5 kB

09. Data Processing - Solving Data Processing Challenges/15.1 EmpSalaryJC.csv.csv

110 B

09. Data Processing - Solving Data Processing Challenges/15.2 EmpDeptJC.csv.csv

108 B

09. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.mp4

5.6 MB

09. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.vtt

2.4 kB

09. Data Processing - Solving Data Processing Challenges/1. Section Introduction.mp4

5.4 MB

09. Data Processing - Solving Data Processing Challenges/1. Section Introduction.vtt

2.8 kB

09. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.mp4

12 MB

09. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.vtt

5.6 kB

09. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.mp4

8.1 MB

09. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.vtt

2.8 kB

09. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.mp4

12 MB

09. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.vtt

5.8 kB

09. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4

18 MB

09. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.vtt

6.5 kB

09. Data Processing - Solving Data Processing Challenges/6. Clean Missing Data with MICE.mp4

13 MB

09. Data Processing - Solving Data Processing Challenges/6. Clean Missing Data with MICE.vtt

6.1 kB

09. Data Processing - Solving Data Processing Challenges/7.1 MICE Loan Dataset.csv.csv

37 kB

09. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.mp4

16 MB

09. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.vtt

6.1 kB

09. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.mp4

14 MB

09. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.vtt

7.3 kB

09. Data Processing - Solving Data Processing Challenges/9.1 LoanSMOTE.csv.csv

6.2 kB

09. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4

16 MB

09. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.vtt

5.0 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.mp4

7.7 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.vtt

6.2 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4

47 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.vtt

6.6 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/3. Chi Square Test of Independence.mp4

8.3 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/3. Chi Square Test of Independence.vtt

5.4 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/4. Kendall Correlation Coefficient.mp4

6.7 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/4. Kendall Correlation Coefficient.vtt

4.0 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/5. Spearman's Rank Correlation.mp4

6.4 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/5. Spearman's Rank Correlation.vtt

3.6 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4

13 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt

7.1 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4

6.4 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt

3.5 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.mp4

24 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.vtt

5.0 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/9.1 Wine-Low-Medium-High.csv.csv

95 kB

10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4

61 MB

10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.vtt

5.8 kB

11. Recommendation System/1. What is a Recommendation System.mp4

35 MB

11. Recommendation System/1. What is a Recommendation System.vtt

15 kB

11. Recommendation System/2. Data Preparation using Recommender Split.mp4

15 MB

11. Recommendation System/2. Data Preparation using Recommender Split.vtt

7.3 kB

11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4

15 MB

11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.vtt

7.3 kB

11. Recommendation System/4. How to Score the Matchbox Recommender.mp4

11 MB

11. Recommendation System/4. How to Score the Matchbox Recommender.vtt

5.2 kB

11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4

36 MB

11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.vtt

11 kB

11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4

17 MB

11. Recommendation System/6. Understanding the Matchbox Recommendation Results.vtt

7.2 kB

11. Recommendation System/7. Recommendation System.html

137 B

12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4

41 MB

12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.vtt

7.4 kB

12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4

55 MB

12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.vtt

13 kB

12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4

50 MB

12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.vtt

7.6 kB

12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4

75 MB

12. Text Analytics and Natural Language Processing/4. Feature Hashing.vtt

13 kB

12. Text Analytics and Natural Language Processing/5.1 two-class complaints modified.txt.txt

47 kB

12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4

91 MB

12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt

9.6 kB

13. Thank You and Bonus Lecture/1.1 Links for datasets.pdf.pdf

261 kB

13. Thank You and Bonus Lecture/1. Way Forward.mp4

49 MB

13. Thank You and Bonus Lecture/1. Way Forward.vtt

4.9 kB

13. Thank You and Bonus Lecture/2. Bonus Lecture.html

1.4 kB

Discuss.FTUForum.com.html

32 kB

FreeCoursesOnline.Me.html

108 kB

FTUForum.com.html

100 kB

How you can help Team-FTU.txt

235 B

[TGx]Downloaded from torrentgalaxy.org.txt

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Torrent Downloaded From GloDls.to.txt

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