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[FTUForum com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]
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01. Basics of Machine Learning (Size: 1.89 GB) (Files: 230)
01. Basics of Machine Learning
1. What You Will Learn in This Section.mp4
1. What You Will Learn in This Section.vtt
2.10 Section 09 - Data Processing.pdf.pdf
2.11 Section 04 - Classification - 002 - Decision Tree.pdf.pdf
2.12 Section 11 - Recommendation System.pdf.pdf
2.13 Section - Text Analytics.pdf.pdf
2.14 Section 03 - Data Pre-processing.pdf.pdf
2.1 Section 01 - Basics of Machine Learning.pdf.pdf
2.2 Section 06 - Deploy Webservice.pdf.pdf
2.3 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf
2.4 Section 02 - Getting Started with AzureML.pdf.pdf
2.5 Section 04 - Classification - 003 - SVM.pdf.pdf
2.6 Section 08 - Clustering.pdf.pdf
2.7 Section 05 - Tune Hyperparameter.pdf.pdf
2.8 Section 07 - Regression.pdf.pdf
2.9 Section 10 - Feature Selection.pdf.pdf
2. The course slides for all sections.html
3. Important Message About Udemy Reviews.mp4
3. Important Message About Udemy Reviews.vtt
4. Why Machine Learning is the Future.mp4
4. Why Machine Learning is the Future.vtt
5. What is Machine Learning.mp4
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.vtt
7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4
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.vtt
9. Basics of Machine Learning.html
02. Getting Started with Azure ML
1. What You Will Learn in This Section.mp4
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..vtt
3. Creating a Free Azure ML Account.mp4
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.vtt
5. Azure ML Experiment Workflow.mp4
5. Azure ML Experiment Workflow.vtt
6.1 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf
6.2 ml_studio_overview_v1.1.pdf.pdf
6. Azure ML Cheat Sheet for Model Selection.mp4
6. Azure ML Cheat Sheet for Model Selection.vtt
7. Getting Started with AzureML.html
03. Data Processing
1.1 Employee Dataset - Full.csv.csv
1. [Hands On] - Data Input-Output - Upload Data.mp4
1. [Hands On] - Data Input-Output - Upload Data.vtt
2.1 Employee Dataset - Full.zip.zip
2. [Hands On] - Data Input-Output - Convert and Unpack.mp4
2. [Hands On] - Data Input-Output - Convert and Unpack.vtt
3.1 Adult Dataset URL.txt.txt
3. [Hands On] - Data Input-Output - Import Data.mp4
3. [Hands On] - Data Input-Output - Import Data.vtt
4.1 Employee Dataset - AC1.csv.csv
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 - TSV.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.vtt
5.1 Wine Quality Dataset.csv.csv
5.2 SQL Statement - Wine.txt.txt
5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4
5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt
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.vtt
7. Data Processing.html
04. Classification
10.1 Bank Telemarketing.csv.csv
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.vtt
11. Decision Forest - Parameters Explained.mp4
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.vtt
13.1 IRIS Dataset Link.txt.txt
13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4
13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt
14. SVM - What is Support Vector Machine.mp4
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.vtt
16. Classification Quiz.html
1. Logistic Regression - What is Logistic Regression.mp4
1. Logistic Regression - What is Logistic Regression.vtt
2.1 Loan Approval Prediction.csv.csv
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.vtt
3. Logistic Regression - Understand Parameters and Their Impact.mp4
3. Logistic Regression - Understand Parameters and Their Impact.vtt
4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx
4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4
4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt
5. Logistic Regression - Model Selection and Impact Analysis.mp4
5. Logistic Regression - Model Selection and Impact Analysis.vtt
6.1 winequality-red.csv.csv
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.vtt
7. Decision Tree - What is Decision Tree.mp4
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.vtt
9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4
9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt
05. Hyperparameter Tuning
1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4
1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt
2. Hyperparameter Tuning.html
06. Deploy Webservice
1. Azure ML Webservice - Prepare the experiment for webservice.mp4
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.vtt
3. [Hands On] - Use the Web Service - Example of Excel.mp4
3. [Hands On] - Use the Web Service - Example of Excel.vtt
4. AzureML Web Service.html
07. Regression Analysis
10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4
10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt
11. Regression Analysis.html
1. What is Linear Regression.mp4
1. What is Linear Regression.vtt
2. Regression Analysis - Common Metrics.mp4
2. Regression Analysis - Common Metrics.vtt
3. [Hands On] - Linear Regression model using OLS.mp4
3. [Hands On] - Linear Regression model using OLS.vtt
4. [Hands On] - Linear Regression - R Squared.mp4
4. [Hands On] - Linear Regression - R Squared.vtt
5. Gradient Descent.mp4
5. Gradient Descent.vtt
6. Linear Regression Online Gradient Descent.mp4
6. Linear Regression Online Gradient Descent.vtt
7. [Hands On] - Experiment Online Gradient.mp4
7. [Hands On] - Experiment Online Gradient.vtt
8. Decision Tree - What is Regression Tree.mp4
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.vtt
08. Clustering
1. What is Cluster Analysis.mp4
1. What is Cluster Analysis.vtt
2.1 Callcenter Data.csv.csv
2. [Hands On] - Cluster Analysis Experiment 1.mp4
2. [Hands On] - Cluster Analysis Experiment 1.vtt
3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4
3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt
4. Clustering or Cluster Analysis.html
09. Data Processing - Solving Data Processing Challenges
10. Data Normalization - Scale and Reduce.mp4
10. Data Normalization - Scale and Reduce.vtt
11. [Hands On] - Data Normalization.mp4
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.vtt
13. [Hands On] - Principal Component Analysis.mp4
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.vtt
15.1 EmpSalaryJC.csv.csv
15.2 EmpDeptJC.csv.csv
15. [Hands On] - Join Data - Experiment.mp4
15. [Hands On] - Join Data - Experiment.vtt
1. Section Introduction.mp4
1. Section Introduction.vtt
2. How to Summarize Data.mp4
2. How to Summarize Data.vtt
3. [Hands On] - Summarize Data - Experiment.mp4
3. [Hands On] - Summarize Data - Experiment.vtt
4. Outliers Treatment - Clip Values.mp4
4. Outliers Treatment - Clip Values.vtt
5. [Hands On] - Outliers Treatment - Clip Values.mp4
5. [Hands On] - Outliers Treatment - Clip Values.vtt
6. Clean Missing Data with MICE.mp4
6. Clean Missing Data with MICE.vtt
7.1 MICE Loan Dataset.csv.csv
7. [Hands On] - Clean Missing Data with MICE.mp4
7. [Hands On] - Clean Missing Data with MICE.vtt
8. SMOTE - Create New Synthetic Observations.mp4
8. SMOTE - Create New Synthetic Observations.vtt
9.1 LoanSMOTE.csv.csv
9. [Hands On] - SMOTE.mp4
9. [Hands On] - SMOTE.vtt
10. Feature Selection - Select a subset of Variables or features with highest impact
1. Feature Selection - Section Introduction.mp4
1. Feature Selection - Section Introduction.vtt
2. Pearson Correlation Coefficient.mp4
2. Pearson Correlation Coefficient.vtt
3. Chi Square Test of Independence.mp4
3. Chi Square Test of Independence.vtt
4. Kendall Correlation Coefficient.mp4
4. Kendall Correlation Coefficient.vtt
5. Spearman's Rank Correlation.mp4
5. Spearman's Rank Correlation.vtt
6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4
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.vtt
8. Fisher Based LDA - Intuition.mp4
8. Fisher Based LDA - Intuition.vtt
9.1 Wine-Low-Medium-High.csv.csv
9. [Hands On] - Fisher Based LDA - Experiment.mp4
9. [Hands On] - Fisher Based LDA - Experiment.vtt
11. Recommendation System
1. What is a Recommendation System.mp4
1. What is a Recommendation System.vtt
2. Data Preparation using Recommender Split.mp4
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.vtt
4. How to Score the Matchbox Recommender.mp4
4. How to Score the Matchbox Recommender.vtt
5. [Hands On] - Restaurant Recommendation Experiment.mp4
5. [Hands On] - Restaurant Recommendation Experiment.vtt
6. Understanding the Matchbox Recommendation Results.mp4
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.vtt
2. Text Pre-Processing.mp4
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.vtt
4. Feature Hashing.mp4
4. Feature Hashing.vtt
5.1 two-class complaints modified.txt.txt
5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4
5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt
13. Thank You and Bonus Lecture
1.1 Links for datasets.pdf.pdf
1. Way Forward.mp4
1. Way Forward.vtt
2. Bonus Lecture.html
Discuss.FTUForum.com.html
FreeCoursesOnline.Me.html
FTUForum.com.html
How you can help Team-FTU.txt
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