FreeTutorials Us Udemy Machine Learning using Azure Machine Learning AzureML

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How you can help Team-FTU.txt

/1. Basics of Machine Learning/

1. What You Will Learn in This Section.mp4

1. What You Will Learn in This Section.srt

1. What You Will Learn in This Section.vtt

2. The course slides for all sections.html

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

2.10 Section 05 - Tune Hyperparameter.pdf.pdf

2.11 Section 11 - Recommendation System.pdf.pdf

2.12 Section 10 - Feature Selection.pdf.pdf

2.13 Section 03 - Data Pre-processing.pdf.pdf

2.14 Section 09 - Data Processing.pdf.pdf

2.2 Section 06 - Deploy Webservice.pdf.pdf

2.3 Section - Text Analytics.pdf.pdf

2.4 Section 02 - Getting Started with AzureML.pdf.pdf

2.5 Section 07 - Regression.pdf.pdf

2.6 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf

2.7 Section 08 - Clustering.pdf.pdf

2.8 Section 04 - Classification - 003 - SVM.pdf.pdf

2.9 Section 04 - Classification - 002 - Decision Tree.pdf.pdf

3. Important Message About Udemy Reviews.mp4

3. Important Message About Udemy Reviews.srt

3. Important Message About Udemy Reviews.vtt

4. Why Machine Learning is the Future.mp4

4. Why Machine Learning is the Future.srt

4. Why Machine Learning is the Future.vtt

5. What is Machine Learning.mp4

5. What is Machine Learning.srt

5. What is Machine Learning.vtt

6. Understanding various aspects of data - Type, Variables, Category.mp4

6. Understanding various aspects of data - Type, Variables, Category.srt

6. Understanding various aspects of data - Type, Variables, Category.vtt

7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4

7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.srt

7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt

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

8. Types of Machine Learning Models - Classification, Regression, Clustering etc.srt

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

9. Basics of Machine Learning.html

/10. Feature Selection - Select a..highest impact/

1. Feature Selection - Section Introduction.mp4

1. Feature Selection - Section Introduction.srt

1. Feature Selection - Section Introduction.vtt

2. Pearson Correlation Coefficient.mp4

2. Pearson Correlation Coefficient.srt

2. Pearson Correlation Coefficient.vtt

3. Chi Square Test of Independence.mp4

3. Chi Square Test of Independence.srt

3. Chi Square Test of Independence.vtt

4. Kendall Correlation Coefficient.mp4

4. Kendall Correlation Coefficient.srt

4. Kendall Correlation Coefficient.vtt

5. Spearman's Rank Correlation.mp4

5. Spearman's Rank Correlation.srt

5. Spearman's Rank Correlation.vtt

6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4

6. [Hands On] - Comparison Experiment for Correlation Coefficients.srt

6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt

7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4

7. [Hands On] - Filter Based Selection - AzureML Experiment.srt

7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt

8. Fisher Based LDA - Intuition.mp4

8. Fisher Based LDA - Intuition.srt

8. Fisher Based LDA - Intuition.vtt

9. [Hands On] - Fisher Based LDA - Experiment.mp4

9. [Hands On] - Fisher Based LDA - Experiment.srt

9. [Hands On] - Fisher Based LDA - Experiment.vtt

9.1 Wine-Low-Medium-High.csv.csv

/11. Recommendation System/

1. What is a Recommendation System.mp4

1. What is a Recommendation System.srt

1. What is a Recommendation System.vtt

2. Data Preparation using Recommender Split.mp4

2. Data Preparation using Recommender Split.srt

2. Data Preparation using Recommender Split.vtt

3. What is Matchbox Recommender and Train Matchbox Recommender.mp4

3. What is Matchbox Recommender and Train Matchbox Recommender.srt

3. What is Matchbox Recommender and Train Matchbox Recommender.vtt

4. How to Score the Matchbox Recommender.mp4

4. How to Score the Matchbox Recommender.srt

4. How to Score the Matchbox Recommender.vtt

5. [Hands On] - Restaurant Recommendation Experiment.mp4

5. [Hands On] - Restaurant Recommendation Experiment.srt

5. [Hands On] - Restaurant Recommendation Experiment.vtt

6. Understanding the Matchbox Recommendation Results.mp4

6. Understanding the Matchbox Recommendation Results.srt

6. Understanding the Matchbox Recommendation Results.vtt

7. Recommendation System.html

/12. Text Analytics and Natural Language Processing/

1. What is Text Analytics or Natural Language Processing.mp4

1. What is Text Analytics or Natural Language Processing.srt

1. What is Text Analytics or Natural Language Processing.vtt

2. Text Pre-Processing.mp4

2. Text Pre-Processing.srt

2. Text Pre-Processing.vtt

3. Bag Of Words and N-Gram Models for Text features.mp4

3. Bag Of Words and N-Gram Models for Text features.srt

3. Bag Of Words and N-Gram Models for Text features.vtt

4. Feature Hashing.mp4

4. Feature Hashing.srt

4. Feature Hashing.vtt

5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4

5. [Hands On] - Classify Customer Complaints using Text Analytics.srt

5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt

5.1 two-class complaints modified.txt.txt

/13. Thank You and Bonus Lecture/

1. Way Forward.mp4

1. Way Forward.srt

1. Way Forward.vtt

1.1 Links for datasets.pdf.pdf

2. Bonus Lecture.html

/2. Getting Started with Azure ML/

1. What You Will Learn in This Section.mp4

1. What You Will Learn in This Section.srt

1. What You Will Learn in This Section.vtt

2. What is Azure ML and high level architecture..mp4

2. What is Azure ML and high level architecture..srt

2. What is Azure ML and high level architecture..vtt

3. Creating a Free Azure ML Account.mp4

3. Creating a Free Azure ML Account.srt

3. Creating a Free Azure ML Account.vtt

4. Azure ML Studio Overview and walk-through.mp4

4. Azure ML Studio Overview and walk-through.srt

4. Azure ML Studio Overview and walk-through.vtt

5. Azure ML Experiment Workflow.mp4

5. Azure ML Experiment Workflow.srt

5. Azure ML Experiment Workflow.vtt

6. Azure ML Cheat Sheet for Model Selection.mp4

6. Azure ML Cheat Sheet for Model Selection.srt

6. Azure ML Cheat Sheet for Model Selection.vtt

6.1 ml_studio_overview_v1.1.pdf.pdf

6.2 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf

7. Getting Started with AzureML.html

/3. Data Processing/

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

1. [Hands On] - Data Input-Output - Upload Data.srt

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

1.1 Employee Dataset - Full.csv.csv

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

2. [Hands On] - Data Input-Output - Convert and Unpack.srt

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

2.1 Employee Dataset - Full.zip.zip

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

3. [Hands On] - Data Input-Output - Import Data.srt

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

3.1 Adult Dataset URL.txt.txt

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

4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.srt

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

4.1 Employee Dataset - TSV.txt.txt

4.2 Employee Dataset - AR2.csv.csv

4.3 Employee Dataset - AC2.csv.csv

4.4 Employee Dataset - AR1.csv.csv

4.5 Employee Dataset - AC1.csv.csv

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

5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.srt

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

5.1 Wine Quality Dataset.csv.csv

5.2 SQL Statement - Wine.txt.txt

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

6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.srt

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

7. Data Processing.html

/4. Classification/

1. Logistic Regression - What is Logistic Regression.mp4

1. Logistic Regression - What is Logistic Regression.srt

1. Logistic Regression - What is Logistic Regression.vtt

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

10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.srt

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

10.1 Bank Telemarketing.csv.csv

11. Decision Forest - Parameters Explained.mp4

11. Decision Forest - Parameters Explained.srt

11. Decision Forest - Parameters Explained.vtt

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

12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.srt

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

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

13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.srt

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

13.1 IRIS Dataset Link.txt.txt

14. SVM - What is Support Vector Machine.mp4

14. SVM - What is Support Vector Machine.srt

14. SVM - What is Support Vector Machine.vtt

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

15. [Hands On] - SVM - Adult Census Income Prediction.srt

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

16. Classification Quiz.html

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

2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.srt

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

2.1 Loan Approval Prediction.csv.csv

3. Logistic Regression - Understand Parameters and Their Impact.mp4

3. Logistic Regression - Understand Parameters and Their Impact.srt

3. Logistic Regression - Understand Parameters and Their Impact.vtt

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

4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.srt

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

4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx

5. Logistic Regression - Model Selection and Impact Analysis.mp4

5. Logistic Regression - Model Selection and Impact Analysis.srt

5. Logistic Regression - Model Selection and Impact Analysis.vtt

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

6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.srt

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

6.1 winequality-red.csv.csv

7. Decision Tree - What is Decision Tree.mp4

7. Decision Tree - What is Decision Tree.srt

7. Decision Tree - What is Decision Tree.vtt

8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4

8. Decision Tree - Ensemble Learning - Bagging and Boosting.srt

8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt

9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4

9. Decision Tree - Parameters - Two Class Boosted Decision Tree.srt

9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt

/5. Hyperparameter Tuning/

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

1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.srt

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

2. Hyperparameter Tuning.html

/6. Deploy Webservice/

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

1. Azure ML Webservice - Prepare the experiment for webservice.srt

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

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

2. [Hands On] - Deploy Machine Learning Model As a Web Service.srt

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

3. [Hands On] - Use the Web Service - Example of Excel.mp4

3. [Hands On] - Use the Web Service - Example of Excel.srt

3. [Hands On] - Use the Web Service - Example of Excel.vtt

4. AzureML Web Service.html

/7. Regression Analysis/

1. What is Linear Regression.mp4

1. What is Linear Regression.srt

1. What is Linear Regression.vtt

10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4

10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.srt

10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt

11. Regression Analysis.html

2. Regression Analysis - Common Metrics.mp4

2. Regression Analysis - Common Metrics.srt

2. Regression Analysis - Common Metrics.vtt

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

3. [Hands On] - Linear Regression model using OLS.srt

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

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

4. [Hands On] - Linear Regression - R Squared.srt

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

5. Gradient Descent.mp4

5. Gradient Descent.srt

5. Gradient Descent.vtt

6. Linear Regression Online Gradient Descent.mp4

6. Linear Regression Online Gradient Descent.srt

6. Linear Regression Online Gradient Descent.vtt

7. [Hands On] - Experiment Online Gradient.mp4

7. [Hands On] - Experiment Online Gradient.srt

7. [Hands On] - Experiment Online Gradient.vtt

8. Decision Tree - What is Regression Tree.mp4

8. Decision Tree - What is Regression Tree.srt

8. Decision Tree - What is Regression Tree.vtt

9. Decision Tree - What is Boosted Decision Tree Regression.mp4

9. Decision Tree - What is Boosted Decision Tree Regression.srt

9. Decision Tree - What is Boosted Decision Tree Regression.vtt

/8. Clustering/

1. What is Cluster Analysis.mp4

1. What is Cluster Analysis.srt

1. What is Cluster Analysis.vtt

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

2. [Hands On] - Cluster Analysis Experiment 1.srt

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

2.1 Callcenter Data.csv.csv

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

3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.srt

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

4. Clustering or Cluster Analysis.html

/9. Data Processing - Solving Data Processing Challenges/

1. Section Introduction.mp4

1. Section Introduction.srt

1. Section Introduction.vtt

10. Data Normalization - Scale and Reduce.mp4

10. Data Normalization - Scale and Reduce.srt

10. Data Normalization - Scale and Reduce.vtt

11. [Hands On] - Data Normalization.mp4

11. [Hands On] - Data Normalization.srt

11. [Hands On] - Data Normalization.vtt

12. PCA - What is PCA and Curse of Dimensionality.mp4

12. PCA - What is PCA and Curse of Dimensionality.srt

12. PCA - What is PCA and Curse of Dimensionality.vtt

13. [Hands On] - Principal Component Analysis.mp4

13. [Hands On] - Principal Component Analysis.srt

13. [Hands On] - Principal Component Analysis.vtt

14. Join Data - Join Multiple Datasets based on common keys.mp4

14. Join Data - Join Multiple Datasets based on common keys.srt

14. Join Data - Join Multiple Datasets based on common keys.vtt

15. [Hands On] - Join Data - Experiment.mp4

15. [Hands On] - Join Data - Experiment.srt

15. [Hands On] - Join Data - Experiment.vtt

15.1 EmpSalaryJC.csv.csv

15.2 EmpDeptJC.csv.csv

2. How to Summarize Data.mp4

2. How to Summarize Data.srt

2. How to Summarize Data.vtt

3. [Hands On] - Summarize Data - Experiment.mp4

3. [Hands On] - Summarize Data - Experiment.srt

3. [Hands On] - Summarize Data - Experiment.vtt

4. Outliers Treatment - Clip Values.mp4

4. Outliers Treatment - Clip Values.srt

4. Outliers Treatment - Clip Values.vtt

5. [Hands On] - Outliers Treatment - Clip Values.mp4

5. [Hands On] - Outliers Treatment - Clip Values.srt

5. [Hands On] - Outliers Treatment - Clip Values.vtt

6. Clean Missing Data with MICE.mp4

6. Clean Missing Data with MICE.srt

6. Clean Missing Data with MICE.vtt

7. [Hands On] - Clean Missing Data with MICE.mp4

7. [Hands On] - Clean Missing Data with MICE.srt

7. [Hands On] - Clean Missing Data with MICE.vtt

7.1 MICE Loan Dataset.csv.csv

8. SMOTE - Create New Synthetic Observations.mp4

8. SMOTE - Create New Synthetic Observations.srt

8. SMOTE - Create New Synthetic Observations.vtt

9. [Hands On] - SMOTE.mp4

9. [Hands On] - SMOTE.srt

9. [Hands On] - SMOTE.vtt

9.1 LoanSMOTE.csv.csv

Total files 317