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

Torrent Hash:
61135EAEEC9E31EC14F7E260CA621B96AF026AD9
Number of Files:
230
Content Size:
1.89GB
Convert On:
2020-08-01
Magnet Link:
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01. Basics of Machine Learning/1. What You Will Learn in This Section.mp4
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01. Basics of Machine Learning/1. What You Will Learn in This Section.vtt
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01. Basics of Machine Learning/2.10 Section 09 - Data Processing.pdf.pdf
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01. Basics of Machine Learning/2.11 Section 04 - Classification - 002 - Decision Tree.pdf.pdf
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01. Basics of Machine Learning/2.12 Section 11 - Recommendation System.pdf.pdf
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01. Basics of Machine Learning/2.13 Section - Text Analytics.pdf.pdf
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01. Basics of Machine Learning/2.14 Section 03 - Data Pre-processing.pdf.pdf
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01. Basics of Machine Learning/2.1 Section 01 - Basics of Machine Learning.pdf.pdf
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01. Basics of Machine Learning/2.2 Section 06 - Deploy Webservice.pdf.pdf
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01. Basics of Machine Learning/2.3 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf
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01. Basics of Machine Learning/2.4 Section 02 - Getting Started with AzureML.pdf.pdf
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01. Basics of Machine Learning/2.5 Section 04 - Classification - 003 - SVM.pdf.pdf
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01. Basics of Machine Learning/2.6 Section 08 - Clustering.pdf.pdf
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01. Basics of Machine Learning/2.7 Section 05 - Tune Hyperparameter.pdf.pdf
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01. Basics of Machine Learning/2.8 Section 07 - Regression.pdf.pdf
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01. Basics of Machine Learning/2.9 Section 10 - Feature Selection.pdf.pdf
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01. Basics of Machine Learning/2. The course slides for all sections.html
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01. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4
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02. Getting Started with Azure ML/1. What You Will Learn in This Section.mp4
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02. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4
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02. Getting Started with Azure ML/3. Creating a Free Azure ML Account.mp4
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02. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.mp4
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1.62KB
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1.34KB
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1.85KB
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83.73KB
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141B
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4.71MB
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25.17MB
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74B
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37.12KB
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23.96KB
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83.73KB
04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4
19.67MB
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04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt
7.54KB
04. Classification/7. Decision Tree - What is Decision Tree.mp4
14.34MB
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04. Classification/7. Decision Tree - What is Decision Tree.vtt
7.02KB
04. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4
12.91MB
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04. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt
6.57KB
04. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4
12.1MB
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04. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt
5.38KB
05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4
21.92MB
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05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt
8.66KB
05. Hyperparameter Tuning/2. Hyperparameter Tuning.html
136B
06. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.mp4
5.56MB
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06. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.vtt
2.27KB
06. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4
9.18MB
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06. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt
9.19MB
06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4
16.58MB
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06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.vtt
6.05KB
06. Deploy Webservice/4. AzureML Web Service.html
137B
07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4
17.28MB
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07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt
5.67KB
07. Regression Analysis/11. Regression Analysis.html
137B
07. Regression Analysis/1. What is Linear Regression.mp4
14.03MB
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07. Regression Analysis/1. What is Linear Regression.vtt
5.26KB
07. Regression Analysis/2. Regression Analysis - Common Metrics.mp4
12.59MB
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07. Regression Analysis/2. Regression Analysis - Common Metrics.vtt
5.57KB
07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4
91.03MB
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07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.vtt
9.71KB
07. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.mp4
10.33MB
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07. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.vtt
3.82KB
07. Regression Analysis/5. Gradient Descent.mp4
27.66MB
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07. Regression Analysis/5. Gradient Descent.vtt
9.06KB
07. Regression Analysis/6. Linear Regression Online Gradient Descent.mp4
6.71MB
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07. Regression Analysis/6. Linear Regression Online Gradient Descent.vtt
1.96KB
07. Regression Analysis/7. [Hands On] - Experiment Online Gradient.mp4
10.85MB
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07. Regression Analysis/7. [Hands On] - Experiment Online Gradient.vtt
3.94KB
07. Regression Analysis/8. Decision Tree - What is Regression Tree.mp4
12.24MB
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07. Regression Analysis/8. Decision Tree - What is Regression Tree.vtt
5.49KB
07. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.mp4
4.32MB
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07. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.vtt
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08. Clustering/1. What is Cluster Analysis.mp4
22.38MB
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08. Clustering/1. What is Cluster Analysis.vtt
9.8KB
08. Clustering/2.1 Callcenter Data.csv.csv
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08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4
30.92MB
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08. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4
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6.62KB
08. Clustering/4. Clustering or Cluster Analysis.html
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09. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.mp4
5.33MB
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09. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.mp4
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09. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.mp4
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09. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.mp4
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09. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.mp4
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09. Data Processing - Solving Data Processing Challenges/15.1 EmpSalaryJC.csv.csv
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09. Data Processing - Solving Data Processing Challenges/15.2 EmpDeptJC.csv.csv
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09. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.mp4
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09. Data Processing - Solving Data Processing Challenges/1. Section Introduction.mp4
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09. Data Processing - Solving Data Processing Challenges/1. Section Introduction.vtt
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09. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.mp4
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09. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.mp4
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09. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.mp4
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09. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4
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09. Data Processing - Solving Data Processing Challenges/7.1 MICE Loan Dataset.csv.csv
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14.21MB
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09. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4
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10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.mp4
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10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4
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10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4
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11. Recommendation System/1. What is a Recommendation System.mp4
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12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4
40.7MB
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12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.vtt
7.39KB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4
54.61MB
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12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.vtt
13.22KB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4
49.96MB
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12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.vtt
7.56KB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4
75.17MB
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12. Text Analytics and Natural Language Processing/4. Feature Hashing.vtt
12.73KB
12. Text Analytics and Natural Language Processing/5.1 two-class complaints modified.txt.txt
47.39KB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4
90.99MB
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12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt
9.59KB
13. Thank You and Bonus Lecture/1.1 Links for datasets.pdf.pdf
261.42KB
13. Thank You and Bonus Lecture/1. Way Forward.mp4
49.18MB
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13. Thank You and Bonus Lecture/1. Way Forward.vtt
4.94KB
13. Thank You and Bonus Lecture/2. Bonus Lecture.html
1.37KB
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524B
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