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Language:
English
Total Size:
1.9 GB
Info Hash:
2456AD9EC9CA0DF08289F01536E3D0DE96D688F2
Added By:
Added:
Oct. 29, 2023, 5:06 a.m.
Stats:
|
(Last updated: May 11, 2025, 12:04 a.m.)
| File | Size |
|---|---|
| 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url | 377 bytes |
| 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url | 328 bytes |
| 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286 bytes |
| 3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, & more..etc.url | 163 bytes |
| 4. (FTUApps.com) Download Cracked Developers Applications For Free.url | 239 bytes |
| How you can help Team-FTU.txt | 229 bytes |
| 1. What You Will Learn in This Section.mp4 | 19.2 MB |
| 1. What You Will Learn in This Section.srt | 2.6 KB |
| 1. What You Will Learn in This Section.vtt | 2.3 KB |
| 2. The course slides for all sections.html | 336 bytes |
| 2.1 Section 01 - Basics of Machine Learning.pdf.pdf | 1.8 MB |
| 2.10 Section 05 - Tune Hyperparameter.pdf.pdf | 1.2 MB |
| 2.11 Section 11 - Recommendation System.pdf.pdf | 3.1 MB |
| 2.12 Section 10 - Feature Selection.pdf.pdf | 2.9 MB |
| 2.13 Section 03 - Data Pre-processing.pdf.pdf | 1.0 MB |
| 2.14 Section 09 - Data Processing.pdf.pdf | 2.8 MB |
| 2.2 Section 06 - Deploy Webservice.pdf.pdf | 702.4 KB |
| 2.3 Section - Text Analytics.pdf.pdf | 2.0 MB |
| 2.4 Section 02 - Getting Started with AzureML.pdf.pdf | 2.7 MB |
| 2.5 Section 07 - Regression.pdf.pdf | 2.8 MB |
| 2.6 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf | 1.4 MB |
| 2.7 Section 08 - Clustering.pdf.pdf | 1.5 MB |
| 2.8 Section 04 - Classification - 003 - SVM.pdf.pdf | 1.1 MB |
| 2.9 Section 04 - Classification - 002 - Decision Tree.pdf.pdf | 3.4 MB |
| 3. Important Message About Udemy Reviews.mp4 | 19.2 MB |
| 3. Important Message About Udemy Reviews.srt | 4.2 KB |
| 3. Important Message About Udemy Reviews.vtt | 3.7 KB |
| 4. Why Machine Learning is the Future.mp4 | 68.7 MB |
| 4. Why Machine Learning is the Future.srt | 10.1 KB |
| 4. Why Machine Learning is the Future.vtt | 9.2 KB |
| 5. What is Machine Learning.mp4 | 18.5 MB |
| 5. What is Machine Learning.srt | 10.7 KB |
| 5. What is Machine Learning.vtt | 9.7 KB |
| 6. Understanding various aspects of data - Type, Variables, Category.mp4 | 13.6 MB |
| 6. Understanding various aspects of data - Type, Variables, Category.srt | 7.9 KB |
| 6. Understanding various aspects of data - Type, Variables, Category.vtt | 7.1 KB |
| 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4 | 13.3 MB |
| 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.srt | 8.3 KB |
| 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt | 7.5 KB |
| 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4 | 19.0 MB |
| 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.srt | 10.0 KB |
| 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt | 9.2 KB |
| 9. Basics of Machine Learning.html | 140 bytes |
| 1. Feature Selection - Section Introduction.mp4 | 7.7 MB |
| 1. Feature Selection - Section Introduction.srt | 6.9 KB |
| 1. Feature Selection - Section Introduction.vtt | 6.2 KB |
| 2. Pearson Correlation Coefficient.mp4 | 47.2 MB |
| 2. Pearson Correlation Coefficient.srt | 7.5 KB |
| 2. Pearson Correlation Coefficient.vtt | 6.6 KB |
| 3. Chi Square Test of Independence.mp4 | 8.3 MB |
| 3. Chi Square Test of Independence.srt | 6.0 KB |
| 3. Chi Square Test of Independence.vtt | 5.4 KB |
| 4. Kendall Correlation Coefficient.mp4 | 6.7 MB |
| 4. Kendall Correlation Coefficient.srt | 4.4 KB |
| 4. Kendall Correlation Coefficient.vtt | 4.0 KB |
| 5. Spearman's Rank Correlation.mp4 | 6.4 MB |
| 5. Spearman's Rank Correlation.srt | 4.0 KB |
| 5. Spearman's Rank Correlation.vtt | 3.6 KB |
| 6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4 | 13.2 MB |
| 6. [Hands On] - Comparison Experiment for Correlation Coefficients.srt | 7.8 KB |
| 6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt | 7.1 KB |
| 7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4 | 6.4 MB |
| 7. [Hands On] - Filter Based Selection - AzureML Experiment.srt | 3.9 KB |
| 7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt | 3.5 KB |
| 8. Fisher Based LDA - Intuition.mp4 | 24.1 MB |
| 8. Fisher Based LDA - Intuition.srt | 5.5 KB |
| 8. Fisher Based LDA - Intuition.vtt | 5.0 KB |
| 9. [Hands On] - Fisher Based LDA - Experiment.mp4 | 61.1 MB |
| 9. [Hands On] - Fisher Based LDA - Experiment.srt | 6.5 KB |
| 9. [Hands On] - Fisher Based LDA - Experiment.vtt | 5.8 KB |
| 9.1 Wine-Low-Medium-High.csv.csv | 95.4 KB |
| 1. What is a Recommendation System.mp4 | 35.0 MB |
| 1. What is a Recommendation System.srt | 16.1 KB |
| 1. What is a Recommendation System.vtt | 14.6 KB |
| 2. Data Preparation using Recommender Split.mp4 | 14.9 MB |
| 2. Data Preparation using Recommender Split.srt | 8.0 KB |
| 2. Data Preparation using Recommender Split.vtt | 7.3 KB |
| 3. What is Matchbox Recommender and Train Matchbox Recommender.mp4 | 14.6 MB |
| 3. What is Matchbox Recommender and Train Matchbox Recommender.srt | 8.0 KB |
| 3. What is Matchbox Recommender and Train Matchbox Recommender.vtt | 7.3 KB |
| 4. How to Score the Matchbox Recommender.mp4 | 10.9 MB |
| 4. How to Score the Matchbox Recommender.srt | 5.7 KB |
| 4. How to Score the Matchbox Recommender.vtt | 5.2 KB |
| 5. [Hands On] - Restaurant Recommendation Experiment.mp4 | 36.2 MB |
| 5. [Hands On] - Restaurant Recommendation Experiment.srt | 12.6 KB |
| 5. [Hands On] - Restaurant Recommendation Experiment.vtt | 11.3 KB |
| 6. Understanding the Matchbox Recommendation Results.mp4 | 17.4 MB |
| 6. Understanding the Matchbox Recommendation Results.srt | 8.0 KB |
| 6. Understanding the Matchbox Recommendation Results.vtt | 7.2 KB |
| 7. Recommendation System.html | 141 bytes |
| 1. What is Text Analytics or Natural Language Processing.mp4 | 44.8 MB |
| 1. What is Text Analytics or Natural Language Processing.srt | 8.4 KB |
| 1. What is Text Analytics or Natural Language Processing.vtt | 7.4 KB |
| 2. Text Pre-Processing.mp4 | 54.6 MB |
| 2. Text Pre-Processing.srt | 15.2 KB |
| 2. Text Pre-Processing.vtt | 13.2 KB |
| 3. Bag Of Words and N-Gram Models for Text features.mp4 | 50.0 MB |
| 3. Bag Of Words and N-Gram Models for Text features.srt | 8.6 KB |
| 3. Bag Of Words and N-Gram Models for Text features.vtt | 7.6 KB |
| 4. Feature Hashing.mp4 | 75.2 MB |
| 4. Feature Hashing.srt | 14.6 KB |
| 4. Feature Hashing.vtt | 12.7 KB |
| 5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 | 87.4 MB |
| 5. [Hands On] - Classify Customer Complaints using Text Analytics.srt | 11.0 KB |
| 5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt | 9.6 KB |
| 5.1 two-class complaints modified.txt.txt | 47.4 KB |
| 1. Way Forward.mp4 | 50.0 MB |
| 1. Way Forward.srt | 5.4 KB |
| 1. Way Forward.vtt | 4.9 KB |
| 1.1 Links for datasets.pdf.pdf | 261.4 KB |
| 2. Bonus Lecture.html | 6.9 KB |
| 1. What You Will Learn in This Section.mp4 | 13.6 MB |
| 1. What You Will Learn in This Section.srt | 2.3 KB |
| 1. What You Will Learn in This Section.vtt | 2.1 KB |
| 2. What is Azure ML and high level architecture..mp4 | 23.2 MB |
| 2. What is Azure ML and high level architecture..srt | 3.8 KB |
| 2. What is Azure ML and high level architecture..vtt | 3.5 KB |
| 3. Creating a Free Azure ML Account.mp4 | 13.4 MB |
| 3. Creating a Free Azure ML Account.srt | 2.4 KB |
| 3. Creating a Free Azure ML Account.vtt | 2.2 KB |
| 4. Azure ML Studio Overview and walk-through.mp4 | 12.2 MB |
| 4. Azure ML Studio Overview and walk-through.srt | 5.0 KB |
| 4. Azure ML Studio Overview and walk-through.vtt | 4.5 KB |
| 5. Azure ML Experiment Workflow.mp4 | 13.2 MB |
| 5. Azure ML Experiment Workflow.srt | 7.4 KB |
| 5. Azure ML Experiment Workflow.vtt | 6.7 KB |
| 6. Azure ML Cheat Sheet for Model Selection.mp4 | 11.3 MB |
| 6. Azure ML Cheat Sheet for Model Selection.srt | 6.4 KB |
| 6. Azure ML Cheat Sheet for Model Selection.vtt | 5.8 KB |
| 6.1 ml_studio_overview_v1.1.pdf.pdf | 2.2 MB |
| 6.2 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf | 404.1 KB |
| 7. Getting Started with AzureML.html | 140 bytes |
| 1. [Hands On] - Data Input-Output - Upload Data.mp4 | 51.0 MB |
| 1. [Hands On] - Data Input-Output - Upload Data.srt | 7.9 KB |
| 1. [Hands On] - Data Input-Output - Upload Data.vtt | 7.2 KB |
| 1.1 Employee Dataset - Full.csv.csv | 1.9 KB |
| 2. [Hands On] - Data Input-Output - Convert and Unpack.mp4 | 22.1 MB |
| 2. [Hands On] - Data Input-Output - Convert and Unpack.srt | 9.0 KB |
| 2. [Hands On] - Data Input-Output - Convert and Unpack.vtt | 8.1 KB |
| 2.1 Employee Dataset - Full.zip.zip | 773 bytes |
| 3. [Hands On] - Data Input-Output - Import Data.mp4 | 13.1 MB |
| 3. [Hands On] - Data Input-Output - Import Data.srt | 6.4 KB |
| 3. [Hands On] - Data Input-Output - Import Data.vtt | 5.7 KB |
| 3.1 Adult Dataset URL.txt.txt | 74 bytes |
| 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 | 26.5 MB |
| 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.srt | 11.5 KB |
| 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.vtt | 10.3 KB |
| 4.1 Employee Dataset - TSV.txt.txt | 1.9 KB |
| 4.2 Employee Dataset - AR2.csv.csv | 1.3 KB |
| 4.3 Employee Dataset - AC2.csv.csv | 260 bytes |
| 4.4 Employee Dataset - AR1.csv.csv | 672 bytes |
| 4.5 Employee Dataset - AC1.csv.csv | 1.6 KB |
| 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 | 38.9 MB |
| 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.srt | 18.0 KB |
| 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt | 16.2 KB |
| 5.1 Wine Quality Dataset.csv.csv | 83.7 KB |
| 5.2 SQL Statement - Wine.txt.txt | 141 bytes |
| 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 | 35.5 MB |
| 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.srt | 16.1 KB |
| 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.vtt | 14.5 KB |
| 7. Data Processing.html | 140 bytes |
| 1. Logistic Regression - What is Logistic Regression.mp4 | 30.7 MB |
| 1. Logistic Regression - What is Logistic Regression.srt | 6.4 KB |
| 1. Logistic Regression - What is Logistic Regression.vtt | 5.8 KB |
| 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4 | 25.2 MB |
| 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.srt | 9.9 KB |
| 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.vtt | 9.0 KB |
| 10.1 Bank Telemarketing.csv.csv | 4.7 MB |
| 11. Decision Forest - Parameters Explained.mp4 | 5.8 MB |
| 11. Decision Forest - Parameters Explained.srt | 3.8 KB |
| 11. Decision Forest - Parameters Explained.vtt | 3.4 KB |
| 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 | 35.1 MB |
| 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.srt | 13.9 KB |
| 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.vtt | 12.5 KB |
| 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4 | 18.6 MB |
| 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.srt | 7.9 KB |
| 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt | 7.0 KB |
| 13.1 IRIS Dataset Link.txt.txt | 74 bytes |
| 14. SVM - What is Support Vector Machine.mp4 | 14.9 MB |
| 14. SVM - What is Support Vector Machine.srt | 3.7 KB |
| 14. SVM - What is Support Vector Machine.vtt | 3.2 KB |
| 15. [Hands On] - SVM - Adult Census Income Prediction.mp4 | 13.8 MB |
| 15. [Hands On] - SVM - Adult Census Income Prediction.srt | 5.5 KB |
| 15. [Hands On] - SVM - Adult Census Income Prediction.vtt | 5.0 KB |
| 16. Classification Quiz.html | 140 bytes |
| 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 | 52.2 MB |
| 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.srt | 21.9 KB |
| 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.vtt | 19.8 KB |
| 2.1 Loan Approval Prediction.csv.csv | 37.1 KB |
| 3. Logistic Regression - Understand Parameters and Their Impact.mp4 | 19.5 MB |
| 3. Logistic Regression - Understand Parameters and Their Impact.srt | 12.5 KB |
| 3. Logistic Regression - Understand Parameters and Their Impact.vtt | 11.3 KB |
| 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 | 29.4 MB |
| 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.srt | 13.1 KB |
| 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt | 11.9 KB |
| 4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx | 24.0 KB |
| 5. Logistic Regression - Model Selection and Impact Analysis.mp4 | 13.8 MB |
| 5. Logistic Regression - Model Selection and Impact Analysis.srt | 5.6 KB |
| 5. Logistic Regression - Model Selection and Impact Analysis.vtt | 5.0 KB |
| 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4 | 19.7 MB |
| 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.srt | 8.4 KB |
| 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt | 7.5 KB |
| 6.1 winequality-red.csv.csv | 83.7 KB |
| 7. Decision Tree - What is Decision Tree.mp4 | 14.3 MB |
| 7. Decision Tree - What is Decision Tree.srt | 7.8 KB |
| 7. Decision Tree - What is Decision Tree.vtt | 7.0 KB |
| 8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4 | 12.9 MB |
| 8. Decision Tree - Ensemble Learning - Bagging and Boosting.srt | 7.3 KB |
| 8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt | 6.6 KB |
| 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4 | 12.1 MB |
| 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.srt | 5.9 KB |
| 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt | 5.4 KB |
| 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4 | 21.9 MB |
| 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.srt | 9.6 KB |
| 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt | 8.7 KB |
| 2. Hyperparameter Tuning.html | 140 bytes |
| 1. Azure ML Webservice - Prepare the experiment for webservice.mp4 | 5.6 MB |
| 1. Azure ML Webservice - Prepare the experiment for webservice.srt | 2.5 KB |
| 1. Azure ML Webservice - Prepare the experiment for webservice.vtt | 2.3 KB |
| 2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4 | 9.2 MB |
| 2. [Hands On] - Deploy Machine Learning Model As a Web Service.srt | 3.5 KB |
| 2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt | 3.1 KB |
| 3. [Hands On] - Use the Web Service - Example of Excel.mp4 | 16.6 MB |
| 3. [Hands On] - Use the Web Service - Example of Excel.srt | 6.8 KB |
| 3. [Hands On] - Use the Web Service - Example of Excel.vtt | 6.1 KB |
| 4. AzureML Web Service.html | 141 bytes |
| 1. What is Linear Regression.mp4 | 14.0 MB |
| 1. What is Linear Regression.srt | 5.8 KB |
| 1. What is Linear Regression.vtt | 5.3 KB |
| 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4 | 17.3 MB |
| 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.srt | 6.3 KB |
| 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt | 5.7 KB |
| 11. Regression Analysis.html | 141 bytes |
| 2. Regression Analysis - Common Metrics.mp4 | 12.6 MB |
| 2. Regression Analysis - Common Metrics.srt | 6.1 KB |
| 2. Regression Analysis - Common Metrics.vtt | 5.6 KB |
| 3. [Hands On] - Linear Regression model using OLS.mp4 | 91.0 MB |
| 3. [Hands On] - Linear Regression model using OLS.srt | 11.3 KB |
| 3. [Hands On] - Linear Regression model using OLS.vtt | 9.7 KB |
| 4. [Hands On] - Linear Regression - R Squared.mp4 | 10.3 MB |
| 4. [Hands On] - Linear Regression - R Squared.srt | 4.2 KB |
| 4. [Hands On] - Linear Regression - R Squared.vtt | 3.8 KB |
| 5. Gradient Descent.mp4 | 27.7 MB |
| 5. Gradient Descent.srt | 10.0 KB |
| 5. Gradient Descent.vtt | 9.1 KB |
| 6. Linear Regression Online Gradient Descent.mp4 | 6.7 MB |
| 6. Linear Regression Online Gradient Descent.srt | 2.2 KB |
| 6. Linear Regression Online Gradient Descent.vtt | 2.0 KB |
| 7. [Hands On] - Experiment Online Gradient.mp4 | 10.9 MB |
| 7. [Hands On] - Experiment Online Gradient.srt | 4.4 KB |
| 7. [Hands On] - Experiment Online Gradient.vtt | 3.9 KB |
| 8. Decision Tree - What is Regression Tree.mp4 | 12.2 MB |
| 8. Decision Tree - What is Regression Tree.srt | 6.1 KB |
| 8. Decision Tree - What is Regression Tree.vtt | 5.5 KB |
| 9. Decision Tree - What is Boosted Decision Tree Regression.mp4 | 4.3 MB |
| 9. Decision Tree - What is Boosted Decision Tree Regression.srt | 2.0 KB |
| 9. Decision Tree - What is Boosted Decision Tree Regression.vtt | 1.8 KB |
| 1. What is Cluster Analysis.mp4 | 22.4 MB |
| 1. What is Cluster Analysis.srt | 10.8 KB |
| 1. What is Cluster Analysis.vtt | 9.8 KB |
| 2. [Hands On] - Cluster Analysis Experiment 1.mp4 | 30.9 MB |
| 2. [Hands On] - Cluster Analysis Experiment 1.srt | 13.2 KB |
| 2. [Hands On] - Cluster Analysis Experiment 1.vtt | 11.9 KB |
| 2.1 Callcenter Data.csv.csv | 831 bytes |
| 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4 | 18.4 MB |
| 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.srt | 7.3 KB |
| 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt | 6.6 KB |
| 4. Clustering or Cluster Analysis.html | 141 bytes |
| 1. Section Introduction.mp4 | 5.4 MB |
| 1. Section Introduction.srt | 3.1 KB |
| 1. Section Introduction.vtt | 2.8 KB |
| 10. Data Normalization - Scale and Reduce.mp4 | 5.3 MB |
| 10. Data Normalization - Scale and Reduce.srt | 2.9 KB |
| 10. Data Normalization - Scale and Reduce.vtt | 2.7 KB |
| 11. [Hands On] - Data Normalization.mp4 | 5.9 MB |
| 11. [Hands On] - Data Normalization.srt | 2.4 KB |
| 11. [Hands On] - Data Normalization.vtt | 2.2 KB |
| 12. PCA - What is PCA and Curse of Dimensionality.mp4 | 10.7 MB |
| 12. PCA - What is PCA and Curse of Dimensionality.srt | 6.2 KB |
| 12. PCA - What is PCA and Curse of Dimensionality.vtt | 5.5 KB |
| 13. [Hands On] - Principal Component Analysis.mp4 | 7.4 MB |
| 13. [Hands On] - Principal Component Analysis.srt | 3.6 KB |
| 13. [Hands On] - Principal Component Analysis.vtt | 3.2 KB |
| 14. Join Data - Join Multiple Datasets based on common keys.mp4 | 10.5 MB |
| 14. Join Data - Join Multiple Datasets based on common keys.srt | 6.0 KB |
| 14. Join Data - Join Multiple Datasets based on common keys.vtt | 5.5 KB |
| 15. [Hands On] - Join Data - Experiment.mp4 | 15.1 MB |
| 15. [Hands On] - Join Data - Experiment.srt | 2.8 KB |
| 15. [Hands On] - Join Data - Experiment.vtt | 2.4 KB |
| 15.1 EmpSalaryJC.csv.csv | 110 bytes |
| 15.2 EmpDeptJC.csv.csv | 108 bytes |
| 2. How to Summarize Data.mp4 | 11.7 MB |
| 2. How to Summarize Data.srt | 6.2 KB |
| 2. How to Summarize Data.vtt | 5.6 KB |
| 3. [Hands On] - Summarize Data - Experiment.mp4 | 8.1 MB |
| 3. [Hands On] - Summarize Data - Experiment.srt | 3.1 KB |
| 3. [Hands On] - Summarize Data - Experiment.vtt | 2.8 KB |
| 4. Outliers Treatment - Clip Values.mp4 | 11.5 MB |
| 4. Outliers Treatment - Clip Values.srt | 6.4 KB |
| 4. Outliers Treatment - Clip Values.vtt | 5.8 KB |
| 5. [Hands On] - Outliers Treatment - Clip Values.mp4 | 17.7 MB |
| 5. [Hands On] - Outliers Treatment - Clip Values.srt | 7.2 KB |
| 5. [Hands On] - Outliers Treatment - Clip Values.vtt | 6.5 KB |
| 6. Clean Missing Data with MICE.mp4 | 13.1 MB |
| 6. Clean Missing Data with MICE.srt | 6.8 KB |
| 6. Clean Missing Data with MICE.vtt | 6.1 KB |
| 7. [Hands On] - Clean Missing Data with MICE.mp4 | 15.9 MB |
| 7. [Hands On] - Clean Missing Data with MICE.srt | 6.8 KB |
| 7. [Hands On] - Clean Missing Data with MICE.vtt | 6.1 KB |
| 7.1 MICE Loan Dataset.csv.csv | 37.1 KB |
| 8. SMOTE - Create New Synthetic Observations.mp4 | 14.2 MB |
| 8. SMOTE - Create New Synthetic Observations.srt | 8.0 KB |
| 8. SMOTE - Create New Synthetic Observations.vtt | 7.3 KB |
| 9. [Hands On] - SMOTE.mp4 | 15.5 MB |
| 9. [Hands On] - SMOTE.srt | 5.5 KB |
| 9. [Hands On] - SMOTE.vtt | 5.0 KB |
| 9.1 LoanSMOTE.csv.csv | 6.2 KB |
Name
DL
Uploader
Size
S/L
Added
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5.9 GB
[36
/
46]
2025-03-08
| Uploaded by CorsaroNero | Size 5.9 GB | Health [ 36 /46 ] | Added 2025-03-08 |
-
632.0 MB
[34
/
3]
2025-02-21
| Uploaded by freecoursewb | Size 632.0 MB | Health [ 34 /3 ] | Added 2025-02-21 |
-
2.9 GB
[2
/
36]
2023-11-30
| Uploaded by FreeCourseWeb | Size 2.9 GB | Health [ 2 /36 ] | Added 2023-11-30 |
-
745.5 MB
[0
/
0]
2023-10-24
| Uploaded by freecoursewb | Size 745.5 MB | Health [ 0 /0 ] | Added 2023-10-24 |
-
695.3 MB
[0
/
0]
2023-10-23
| Uploaded by freecoursewb | Size 695.3 MB | Health [ 0 /0 ] | Added 2023-10-23 |
NOTE
SOURCE: Udemy A Z Machine Learning using Azure Machine Learning AzureML FTU
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