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Torrent Details For "Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)"

Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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Name:	Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)
Description: In this course of Machine Learning using Azure Machine Learning, we will make it even more exciting and fun to learn, create and deploy machine learning models. We will go through every concept in depth. This course not only teaches basic but also the advance techniques of Data processing, Feature Selection and Parameter Tuning which an experienced and seasoned Data Science expert typically deploys. Armed with these techniques, in a very short time, you will be able to match the results that an experienced data scientist can achieve.
YouTube Video:
Category:	Tutorials
Language:	English
Total Size:	1.82 GB
Info Hash:	D2FA031514C1C61E679BA39C9EC91F2038D0622A
Added By:	fclab16
Date Added:	2019-03-04 15:29:02
Torrent Status:	Torrent Verified

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File List:

File	Size
1. Basics of Machine Learning/1. What You Will Learn in This Section.mp4	12.39 MB
1. Basics of Machine Learning/1. What You Will Learn in This Section.vtt	2.32 kB
1. Basics of Machine Learning/2. The course slides for all sections.html	336.00 B
1. Basics of Machine Learning/2.1 Section 01 - Basics of Machine Learning.pdf.pdf	1.84 MB
1. Basics of Machine Learning/2.10 Section 09 - Data Processing.pdf.pdf	2.84 MB
1. Basics of Machine Learning/2.11 Section 04 - Classification - 002 - Decision Tree.pdf.pdf	3.40 MB
1. Basics of Machine Learning/2.12 Section 11 - Recommendation System.pdf.pdf	3.09 MB
1. Basics of Machine Learning/2.13 Section - Text Analytics.pdf.pdf	2.02 MB
1. Basics of Machine Learning/2.14 Section 03 - Data Pre-processing.pdf.pdf	1.01 MB
1. Basics of Machine Learning/2.2 Section 06 - Deploy Webservice.pdf.pdf	702.45 kB
1. Basics of Machine Learning/2.3 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf	1.40 MB
1. Basics of Machine Learning/2.4 Section 02 - Getting Started with AzureML.pdf.pdf	2.68 MB
1. Basics of Machine Learning/2.5 Section 04 - Classification - 003 - SVM.pdf.pdf	1.12 MB
1. Basics of Machine Learning/2.6 Section 08 - Clustering.pdf.pdf	1.54 MB
1. Basics of Machine Learning/2.7 Section 05 - Tune Hyperparameter.pdf.pdf	1.19 MB
1. Basics of Machine Learning/2.8 Section 07 - Regression.pdf.pdf	2.81 MB
1. Basics of Machine Learning/2.9 Section 10 - Feature Selection.pdf.pdf	2.95 MB
1. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4	4.69 MB
1. Basics of Machine Learning/3. Important Message About Udemy Reviews.vtt	3.77 kB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4	68.72 MB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.vtt	9.22 kB
1. Basics of Machine Learning/5. What is Machine Learning.mp4	18.50 MB
1. Basics of Machine Learning/5. What is Machine Learning.vtt	9.74 kB
1. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.mp4	13.61 MB
1. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.vtt	7.11 kB
1. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4	13.31 MB
1. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt	7.46 kB
1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4	19.04 MB
1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt	9.16 kB
1. Basics of Machine Learning/9. Basics of Machine Learning.html	136.00 B
10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.mp4	7.73 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.vtt	6.23 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4	47.22 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.vtt	6.57 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/3. Chi Square Test of Independence.mp4	8.28 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/3. Chi Square Test of Independence.vtt	5.43 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/4. Kendall Correlation Coefficient.mp4	6.71 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/4. Kendall Correlation Coefficient.vtt	3.98 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/5. Spearman's Rank Correlation.mp4	6.37 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/5. Spearman's Rank Correlation.vtt	3.60 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4	13.19 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt	7.08 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4	6.38 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt	3.51 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.mp4	24.08 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.vtt	4.99 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4	61.14 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.vtt	5.81 kB
10. Feature Selection - Select a subset of Variables or features with highest impact/9.1 Wine-Low-Medium-High.csv.csv	95.36 kB
11. Recommendation System/1. What is a Recommendation System.mp4	34.97 MB
11. Recommendation System/1. What is a Recommendation System.vtt	14.55 kB
11. Recommendation System/2. Data Preparation using Recommender Split.mp4	14.92 MB
11. Recommendation System/2. Data Preparation using Recommender Split.vtt	7.29 kB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4	14.56 MB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.vtt	7.25 kB
11. Recommendation System/4. How to Score the Matchbox Recommender.mp4	10.94 MB
11. Recommendation System/4. How to Score the Matchbox Recommender.vtt	5.18 kB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4	36.18 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.vtt	11.28 kB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4	17.44 MB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.vtt	7.20 kB
11. Recommendation System/7. Recommendation System.html	137.00 B
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4	40.70 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.vtt	7.39 kB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4	54.61 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.vtt	13.22 kB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4	49.96 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.vtt	7.56 kB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4	75.17 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.vtt	12.73 kB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4	90.99 MB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt	9.59 kB
12. Text Analytics and Natural Language Processing/5.1 two-class complaints modified.txt.txt	47.39 kB
13. Thank You and Bonus Lecture/1. Way Forward.mp4	57.00 MB
13. Thank You and Bonus Lecture/1. Way Forward.vtt	4.94 kB
13. Thank You and Bonus Lecture/1.1 Links for datasets.pdf.pdf	261.42 kB
13. Thank You and Bonus Lecture/2. Bonus Lecture.html	1.37 kB
2. Getting Started with Azure ML/1. What You Will Learn in This Section.mp4	4.35 MB
2. Getting Started with Azure ML/1. What You Will Learn in This Section.vtt	2.12 kB
2. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4	7.04 MB
2. Getting Started with Azure ML/2. What is Azure ML and high level architecture..vtt	3.47 kB
2. Getting Started with Azure ML/3. Creating a Free Azure ML Account.mp4	5.42 MB
2. Getting Started with Azure ML/3. Creating a Free Azure ML Account.vtt	2.18 kB
2. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.mp4	12.17 MB
2. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.vtt	4.54 kB
2. Getting Started with Azure ML/5. Azure ML Experiment Workflow.mp4	13.22 MB
2. Getting Started with Azure ML/5. Azure ML Experiment Workflow.vtt	6.74 kB
2. Getting Started with Azure ML/6. Azure ML Cheat Sheet for Model Selection.mp4	11.27 MB
2. Getting Started with Azure ML/6. Azure ML Cheat Sheet for Model Selection.vtt	5.83 kB
2. Getting Started with Azure ML/6.1 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf	404.10 kB
2. Getting Started with Azure ML/6.2 ml_studio_overview_v1.1.pdf.pdf	2.25 MB
2. Getting Started with Azure ML/7. Getting Started with AzureML.html	136.00 B
3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4	18.57 MB
3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.vtt	7.17 kB
3. Data Processing/1.1 Employee Dataset - Full.csv.csv	1.85 kB
3. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.mp4	22.09 MB
3. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.vtt	8.13 kB
3. Data Processing/2.1 Employee Dataset - Full.zip.zip	773.00 B
3. Data Processing/3. [Hands On] - Data Input-Output - Import Data.mp4	13.12 MB
3. Data Processing/3. [Hands On] - Data Input-Output - Import Data.vtt	5.73 kB
3. Data Processing/3.1 Adult Dataset URL.txt.txt	74.00 B
3. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4	26.47 MB
3. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.vtt	10.32 kB
3. Data Processing/4.1 Employee Dataset - AC1.csv.csv	1.62 kB
3. Data Processing/4.2 Employee Dataset - AR2.csv.csv	1.34 kB
3. Data Processing/4.3 Employee Dataset - AC2.csv.csv	260.00 B
3. Data Processing/4.4 Employee Dataset - AR1.csv.csv	672.00 B
3. Data Processing/4.5 Employee Dataset - TSV.txt.txt	1.85 kB
3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4	38.91 MB
3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt	16.23 kB
3. Data Processing/5.1 Wine Quality Dataset.csv.csv	83.73 kB
3. Data Processing/5.2 SQL Statement - Wine.txt.txt	141.00 B
3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4	35.52 MB
3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.vtt	14.50 kB
3. Data Processing/7. Data Processing.html	136.00 B
4. Classification/1. Logistic Regression - What is Logistic Regression.mp4	11.48 MB
4. Classification/1. Logistic Regression - What is Logistic Regression.vtt	5.82 kB
4. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4	25.17 MB
4. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.vtt	8.99 kB
4. Classification/10.1 Bank Telemarketing.csv.csv	4.71 MB
4. Classification/11. Decision Forest - Parameters Explained.mp4	5.79 MB
4. Classification/11. Decision Forest - Parameters Explained.vtt	3.40 kB
4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4	35.10 MB
4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.vtt	12.54 kB
4. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4	18.57 MB
4. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt	7.05 kB
4. Classification/13.1 IRIS Dataset Link.txt.txt	74.00 B
4. Classification/14. SVM - What is Support Vector Machine.mp4	7.13 MB
4. Classification/14. SVM - What is Support Vector Machine.vtt	3.53 kB
4. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.mp4	13.83 MB
4. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.vtt	4.96 kB
4. Classification/16. Classification Quiz.html	136.00 B
4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4	52.21 MB
4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.vtt	19.76 kB
4. Classification/2.1 Loan Approval Prediction.csv.csv	37.12 kB
4. Classification/3. Logistic Regression - Understand Parameters and Their Impact.mp4	19.55 MB
4. Classification/3. Logistic Regression - Understand Parameters and Their Impact.vtt	11.26 kB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4	29.42 MB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt	11.86 kB
4. Classification/4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx	23.96 kB
4. Classification/5. Logistic Regression - Model Selection and Impact Analysis.mp4	13.77 MB
4. Classification/5. Logistic Regression - Model Selection and Impact Analysis.vtt	5.03 kB
4. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4	19.67 MB
4. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt	7.54 kB
4. Classification/6.1 winequality-red.csv.csv	83.73 kB
4. Classification/7. Decision Tree - What is Decision Tree.mp4	14.34 MB
4. Classification/7. Decision Tree - What is Decision Tree.vtt	7.02 kB
4. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4	12.91 MB
4. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt	6.57 kB
4. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4	12.10 MB
4. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt	5.38 kB
5. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4	21.92 MB
5. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt	8.66 kB
5. Hyperparameter Tuning/2. Hyperparameter Tuning.html	136.00 B
6. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.mp4	5.56 MB
6. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.vtt	2.27 kB
6. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4	9.18 MB
6. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt	9.19 MB
6. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4	16.58 MB
6. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.vtt	6.05 kB
6. Deploy Webservice/4. AzureML Web Service.html	137.00 B
7. Regression Analysis/1. What is Linear Regression.mp4	14.03 MB
7. Regression Analysis/1. What is Linear Regression.vtt	5.26 kB
7. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4	17.28 MB
7. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt	5.67 kB
7. Regression Analysis/11. Regression Analysis.html	137.00 B
7. Regression Analysis/2. Regression Analysis - Common Metrics.mp4	12.59 MB
7. Regression Analysis/2. Regression Analysis - Common Metrics.vtt	5.57 kB
7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4	91.03 MB
7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.vtt	9.71 kB
7. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.mp4	10.33 MB
7. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.vtt	3.82 kB
7. Regression Analysis/5. Gradient Descent.mp4	27.66 MB
7. Regression Analysis/5. Gradient Descent.vtt	9.06 kB
7. Regression Analysis/6. Linear Regression Online Gradient Descent.mp4	6.71 MB
7. Regression Analysis/6. Linear Regression Online Gradient Descent.vtt	1.96 kB
7. Regression Analysis/7. [Hands On] - Experiment Online Gradient.mp4	10.85 MB
7. Regression Analysis/7. [Hands On] - Experiment Online Gradient.vtt	3.94 kB
7. Regression Analysis/8. Decision Tree - What is Regression Tree.mp4	12.24 MB
7. Regression Analysis/8. Decision Tree - What is Regression Tree.vtt	5.49 kB
7. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.mp4	4.32 MB
7. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.vtt	1.78 kB
8. Clustering/1. What is Cluster Analysis.mp4	22.38 MB
8. Clustering/1. What is Cluster Analysis.vtt	9.80 kB
8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4	30.92 MB
8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.vtt	11.88 kB
8. Clustering/2.1 Callcenter Data.csv.csv	831.00 B
8. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4	18.37 MB
8. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt	6.62 kB
8. Clustering/4. Clustering or Cluster Analysis.html	137.00 B
9. Data Processing - Solving Data Processing Challenges/1. Section Introduction.mp4	5.41 MB
9. Data Processing - Solving Data Processing Challenges/1. Section Introduction.vtt	2.77 kB
9. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.mp4	5.33 MB
9. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.vtt	2.67 kB
9. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.mp4	5.88 MB
9. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.vtt	2.17 kB
9. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.mp4	10.73 MB
9. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.vtt	5.54 kB
9. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.mp4	7.41 MB
9. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.vtt	3.22 kB
9. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.mp4	10.48 MB
9. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.vtt	5.47 kB
9. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.mp4	5.56 MB
9. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.vtt	2.41 kB
9. Data Processing - Solving Data Processing Challenges/15.1 EmpSalaryJC.csv.csv	110.00 B
9. Data Processing - Solving Data Processing Challenges/15.2 EmpDeptJC.csv.csv	108.00 B
9. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.mp4	11.70 MB
9. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.vtt	5.60 kB
9. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.mp4	8.15 MB
9. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.vtt	2.81 kB
9. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.mp4	11.49 MB
9. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.vtt	5.83 kB
9. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4	17.65 MB
9. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.vtt	6.49 kB
9. Data Processing - Solving Data Processing Challenges/6. Clean Missing Data with MICE.mp4	13.05 MB
9. Data Processing - Solving Data Processing Challenges/6. Clean Missing Data with MICE.vtt	6.10 kB
9. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.mp4	15.91 MB
9. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.vtt	6.12 kB
9. Data Processing - Solving Data Processing Challenges/7.1 MICE Loan Dataset.csv.csv	37.12 kB
9. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.mp4	14.21 MB
9. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.vtt	7.27 kB
9. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4	15.54 MB
9. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.vtt	4.99 kB
9. Data Processing - Solving Data Processing Challenges/9.1 LoanSMOTE.csv.csv	6.20 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)