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1. Logistic Regression - What is Logistic Regression.mp4
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1. Way Forward.mp4
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1. What You Will Learn in This Section.mp4
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1. What is Cluster Analysis.mp4
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1. What is Linear Regression.mp4
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14 MB
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1. What is Text Analytics or Natural Language Processing.mp4
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1. What is a Recommendation System.mp4
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1. [Hands On] - Data Input-Output - Upload Data.mp4
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1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4
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1.1 Employee Dataset - Full.csv.csv
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1.1 Links for datasets.pdf.pdf
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10. Data Normalization - Scale and Reduce.mp4
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10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4
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10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt
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10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4
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10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.vtt
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10.1 Bank Telemarketing.csv.csv
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11. Decision Forest - Parameters Explained.mp4
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11. Decision Forest - Parameters Explained.vtt
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11. Regression Analysis.html
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11. [Hands On] - Data Normalization.mp4
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12. PCA - What is PCA and Curse of Dimensionality.mp4
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12. PCA - What is PCA and Curse of Dimensionality.vtt
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12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4
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12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.vtt
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13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4
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13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt
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13. [Hands On] - Principal Component Analysis.mp4
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13. [Hands On] - Principal Component Analysis.vtt
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13.1 IRIS Dataset Link.txt.txt
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TXT
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14. Join Data - Join Multiple Datasets based on common keys.mp4
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14. SVM - What is Support Vector Machine.mp4
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14. SVM - What is Support Vector Machine.vtt
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15. [Hands On] - Join Data - Experiment.mp4
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15. [Hands On] - Join Data - Experiment.vtt
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15. [Hands On] - SVM - Adult Census Income Prediction.mp4
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15. [Hands On] - SVM - Adult Census Income Prediction.vtt
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15.1 EmpSalaryJC.csv.csv
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15.2 EmpDeptJC.csv.csv
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16. Classification Quiz.html
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2. Bonus Lecture.html
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2. Data Preparation using Recommender Split.mp4
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2. Data Preparation using Recommender Split.vtt
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2. How to Summarize Data.mp4
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2. How to Summarize Data.vtt
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2. Hyperparameter Tuning.html
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2. Pearson Correlation Coefficient.mp4
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2. Pearson Correlation Coefficient.vtt
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2. Regression Analysis - Common Metrics.mp4
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2. Text Pre-Processing.mp4
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2. Text Pre-Processing.vtt
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2. The course slides for all sections.html
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307.2 B
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2. What is Azure ML and high level architecture..mp4
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22.9 MB
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2. What is Azure ML and high level architecture..vtt
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2. [Hands On] - Cluster Analysis Experiment 1.mp4
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2. [Hands On] - Cluster Analysis Experiment 1.vtt
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2. [Hands On] - Data Input-Output - Convert and Unpack.mp4
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22.1 MB
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2. [Hands On] - Data Input-Output - Convert and Unpack.vtt
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2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4
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2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt
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2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4
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52.2 MB
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2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.vtt
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2.1 Callcenter Data.csv.csv
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2.1 Employee Dataset - Full.zip.zip
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ZIP
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2.1 Loan Approval Prediction.csv.csv
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2.1 Section 01 - Basics of Machine Learning.pdf.pdf
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1.8 MB
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2.10 Section 09 - Data Processing.pdf.pdf
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2.11 Section 04 - Classification - 002 - Decision Tree.pdf.pdf
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3.4 MB
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2.12 Section 11 - Recommendation System.pdf.pdf
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3.1 MB
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2.13 Section - Text Analytics.pdf.pdf
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2 MB
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2.14 Section 03 - Data Pre-processing.pdf.pdf
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1 MB
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2.2 Section 06 - Deploy Webservice.pdf.pdf
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702.4 KB
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2.3 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf
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1.4 MB
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2.4 Section 02 - Getting Started with AzureML.pdf.pdf
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2.7 MB
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2.5 Section 04 - Classification - 003 - SVM.pdf.pdf
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1.1 MB
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2.6 Section 08 - Clustering.pdf.pdf
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1.5 MB
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2.7 Section 05 - Tune Hyperparameter.pdf.pdf
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1.2 MB
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2.8 Section 07 - Regression.pdf.pdf
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2.8 MB
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2.9 Section 10 - Feature Selection.pdf.pdf
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2.9 MB
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3. Bag Of Words and N-Gram Models for Text features.mp4
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50 MB
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3. Bag Of Words and N-Gram Models for Text features.vtt
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3. Chi Square Test of Independence.mp4
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3. Chi Square Test of Independence.vtt
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3. Creating a Free Azure ML Account.mp4
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3. Creating a Free Azure ML Account.vtt
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3. Important Message About Udemy Reviews.mp4
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18.9 MB
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3. Important Message About Udemy Reviews.vtt
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3. Logistic Regression - Understand Parameters and Their Impact.mp4
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3. Logistic Regression - Understand Parameters and Their Impact.vtt
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3. What is Matchbox Recommender and Train Matchbox Recommender.mp4
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14.6 MB
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3. What is Matchbox Recommender and Train Matchbox Recommender.vtt
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3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4
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18.4 MB
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3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt
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3. [Hands On] - Data Input-Output - Import Data.mp4
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13.1 MB
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3. [Hands On] - Data Input-Output - Import Data.vtt
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3. [Hands On] - Linear Regression model using OLS.mp4
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91 MB
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3. [Hands On] - Linear Regression model using OLS.vtt
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3. [Hands On] - Summarize Data - Experiment.mp4
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3. [Hands On] - Summarize Data - Experiment.vtt
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3. [Hands On] - Use the Web Service - Example of Excel.mp4
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16.6 MB
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3. [Hands On] - Use the Web Service - Example of Excel.vtt
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3.1 Adult Dataset URL.txt.txt
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102.4 B
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4. Azure ML Studio Overview and walk-through.mp4
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12.2 MB
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4. Azure ML Studio Overview and walk-through.vtt
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4. AzureML Web Service.html
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102.4 B
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4. Clustering or Cluster Analysis.html
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102.4 B
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4. Feature Hashing.mp4
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4. Feature Hashing.vtt
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4. How to Score the Matchbox Recommender.mp4
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4. How to Score the Matchbox Recommender.vtt
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4. Kendall Correlation Coefficient.mp4
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4. Kendall Correlation Coefficient.vtt
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4. Outliers Treatment - Clip Values.mp4
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4. Outliers Treatment - Clip Values.vtt
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4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4
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29.4 MB
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4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt
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4. Why Machine Learning is the Future.mp4
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4. Why Machine Learning is the Future.vtt
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4. [Hands On] - Linear Regression - R Squared.mp4
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10.3 MB
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4. [Hands On] - Linear Regression - R Squared.vtt
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4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4
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4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.vtt
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4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx
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24 KB
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4.1 Employee Dataset - AC1.csv.csv
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4.2 Employee Dataset - AR2.csv.csv
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4.3 Employee Dataset - AC2.csv.csv
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4.4 Employee Dataset - AR1.csv.csv
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4.5 Employee Dataset - TSV.txt.txt
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5. Azure ML Experiment Workflow.mp4
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13.2 MB
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5. Azure ML Experiment Workflow.vtt
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5. Gradient Descent.mp4
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27.7 MB
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5. Gradient Descent.vtt
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5. Logistic Regression - Model Selection and Impact Analysis.mp4
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13.8 MB
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5. Spearman's Rank Correlation.mp4
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5. Spearman's Rank Correlation.vtt
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5. What is Machine Learning.mp4
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54.7 MB
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5. What is Machine Learning.vtt
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5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4
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38.9 MB
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5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt
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5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4
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91 MB
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5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt
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5. [Hands On] - Outliers Treatment - Clip Values.mp4
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17.7 MB
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5. [Hands On] - Outliers Treatment - Clip Values.vtt
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5. [Hands On] - Restaurant Recommendation Experiment.mp4
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36.2 MB
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5. [Hands On] - Restaurant Recommendation Experiment.vtt
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5.1 Wine Quality Dataset.csv.csv
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83.7 KB
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5.1 two-class complaints modified.txt.txt
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5.2 SQL Statement - Wine.txt.txt
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102.4 B
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6. Azure ML Cheat Sheet for Model Selection.mp4
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11.3 MB
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6. Azure ML Cheat Sheet for Model Selection.vtt
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6. Clean Missing Data with MICE.mp4
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13.1 MB
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6. Clean Missing Data with MICE.vtt
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6. Linear Regression Online Gradient Descent.mp4
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6. Linear Regression Online Gradient Descent.vtt
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6. Understanding the Matchbox Recommendation Results.mp4
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17.4 MB
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6. Understanding the Matchbox Recommendation Results.vtt
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6. Understanding various aspects of data - Type, Variables, Category.mp4
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6. Understanding various aspects of data - Type, Variables, Category.vtt
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6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4
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13.2 MB
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6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt
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6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4
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35.5 MB
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6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.vtt
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6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4
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MP4
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19.7 MB
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6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt
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7.5 KB
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6.1 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf
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PDF
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404.1 KB
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6.1 winequality-red.csv.csv
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CSV
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6.2 ml_studio_overview_v1.1.pdf.pdf
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2.2 MB
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7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4
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MP4
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13.3 MB
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7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt
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7. Data Processing.html
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HTML
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102.4 B
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7. Decision Tree - What is Decision Tree.mp4
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MP4
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14.3 MB
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7. Decision Tree - What is Decision Tree.vtt
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7 KB
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7. Getting Started with AzureML.html
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HTML
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102.4 B
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7. Recommendation System.html
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HTML
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102.4 B
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7. [Hands On] - Clean Missing Data with MICE.mp4
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MP4
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15.9 MB
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7. [Hands On] - Clean Missing Data with MICE.vtt
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7. [Hands On] - Experiment Online Gradient.mp4
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7. [Hands On] - Experiment Online Gradient.vtt
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7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4
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7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt
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8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4
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8. Fisher Based LDA - Intuition.mp4
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8. SMOTE - Create New Synthetic Observations.mp4
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8. SMOTE - Create New Synthetic Observations.vtt
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8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4
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8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt
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9. Basics of Machine Learning.html
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9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4
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9. [Hands On] - Fisher Based LDA - Experiment.mp4
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9. [Hands On] - SMOTE.mp4
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9.1 Wine-Low-Medium-High.csv.csv
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FTUForum.com.html
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FreeCoursesOnline.Me.html
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How you can help Team-FTU.txt
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Torrent Downloaded From GloDls.to.txt
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[TGx]Downloaded from torrentgalaxy.org.txt
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![[UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]](/static/img/no-torrent-image.png "[UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]")
