Pluralsight Path Data Science with Microsoft Azure 2021 | 35B2554B1CE78F11BB2C8CB0A354BB034C77271F

Pluralsight Path Data Science with Microsoft Azure 2021

Name	Pluralsight Path. Data Science with Microsoft Azure (2021)	DOWNLOAD Copy Link
Total Size	3.4 GB
Total Files	1000
Last Seen	2024-11-16 00:18
Hash	35B2554B1CE78F11BB2C8CB0A354BB034C77271F

/
scr 2022-08.png	505.2 KB
~i.txt	4.4 KB
/A1. Analyzing Business Requirements for Data Science (Paul Foran, 2019)/
exercise.7z	4.5 MB
playlist.m3u	2.9 KB
~i.txt	1.9 KB
/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	2.4 KB
/.../2. Determining if Data Science Is an Appropriate Fit for the Organization/
01. What Is Data Science.mp4	4.3 MB
01. What Is Data Science.vtt	3.4 KB
02. What Is the Project Motivation Factor.mp4	2.8 MB
02. What Is the Project Motivation Factor.vtt	2.9 KB
03. Hard-skills and Soft-skills.mp4	1.3 MB
03. Hard-skills and Soft-skills.vtt	1.8 KB
04. Identifying the Hard-skills.mp4	5.1 MB
04. Identifying the Hard-skills.vtt	4.7 KB
05. Meet the Stereotypical Technical Players.mp4	3.3 MB
05. Meet the Stereotypical Technical Players.vtt	3.1 KB
06. Identify Your Stakeholders.mp4	3.2 MB
06. Identify Your Stakeholders.vtt	2.7 KB
07. Selecting the Right Stakeholders.mp4	4.1 MB
07. Selecting the Right Stakeholders.vtt	2.7 KB
08. Get to Know Your Stakeholders.mp4	1.7 MB
08. Get to Know Your Stakeholders.vtt	1.5 KB
09. Managing the Initial Stakeholder Engagement.mp4	1.6 MB
09. Managing the Initial Stakeholder Engagement.vtt	1.4 KB
10. Asking the Right Questions.mp4	2.6 MB
10. Asking the Right Questions.vtt	2.6 KB
11. Capturing Stakeholders Needs.mp4	1.6 MB
11. Capturing Stakeholders Needs.vtt	1.1 KB
12. Assessing Stakehoders Needs.mp4	2.7 MB
12. Assessing Stakehoders Needs.vtt	2.0 KB
13. Accessing the Data.mp4	2.1 MB
13. Accessing the Data.vtt	1.8 KB
14. Project Gap Analysis.mp4	2.3 MB
14. Project Gap Analysis.vtt	2.1 KB
15. Present the Proposal.mp4	1.3 MB
15. Present the Proposal.vtt	0.8 KB
16. Accessing the Teams Reaction.mp4	876.8 KB
16. Accessing the Teams Reaction.vtt	0.7 KB
17. Address and Capture Any Concerns.mp4	1.8 MB
17. Address and Capture Any Concerns.vtt	1.8 KB
18. Establishing Agreement to Proceed the Project Further.mp4	1.9 MB
18. Establishing Agreement to Proceed the Project Further.vtt	1.7 KB
/.../3. Quantifying the Business Problem/
01. Access the Need of the Project to the Business.mp4	1.2 MB
01. Access the Need of the Project to the Business.vtt	1.0 KB
02. High Risk Data Science Project Scope.mp4	787.0 KB
02. High Risk Data Science Project Scope.vtt	0.8 KB
03. Low Risk Data Science Project Scope.mp4	986.2 KB
03. Low Risk Data Science Project Scope.vtt	0.8 KB
04. External vs. Internal Facing Project Scope.mp4	859.0 KB
04. External vs. Internal Facing Project Scope.vtt	0.9 KB
05. Defining Business Metrics.mp4	7.6 MB
05. Defining Business Metrics.vtt	4.8 KB
06. Business Metrics Classifications.mp4	4.2 MB
06. Business Metrics Classifications.vtt	3.3 KB
07. Managing Technical Metrics.mp4	4.9 MB
07. Managing Technical Metrics.vtt	3.5 KB
08. Data Science Project Risks.mp4	3.2 MB
08. Data Science Project Risks.vtt	3.1 KB
09. Data Science Project Lifecycle.mp4	1.9 MB
09. Data Science Project Lifecycle.vtt	2.3 KB
10. Quantifying the Risks for the Data Science Project.mp4	7.1 MB
10. Quantifying the Risks for the Data Science Project.vtt	4.5 KB
/A2. Understanding Ethical, Legal, and Security Issues in Data Science (Emilio Melo, 2020)/
exercise.7z	2.4 MB
playlist.m3u	1.4 KB
~i.txt	1.6 KB
/1. Course Overview/
1. Course Overview.mp4	3.9 MB
1. Course Overview.vtt	2.5 KB
/.../2. Authentication and Authorization Methods/
1. The Shared Responsibility Model.mp4	5.7 MB
1. The Shared Responsibility Model.vtt	5.7 KB
2. Authentication and Authorization on Azure.mp4	8.2 MB
2. Authentication and Authorization on Azure.vtt	8.5 KB
3. The Key Valet Pattern.mp4	2.6 MB
3. The Key Valet Pattern.vtt	2.7 KB
4. Access Keys and SAS.mp4	9.4 MB
4. Access Keys and SAS.vtt	9.8 KB
5. Demo - Working with Tokens.mp4	9.7 MB
5. Demo - Working with Tokens.vtt	5.2 KB
6. Module Summary.mp4	1.2 MB
6. Module Summary.vtt	1.2 KB
/.../3. Determining Data Availability/
1. Data Availability Concepts.mp4	5.8 MB
1. Data Availability Concepts.vtt	6.3 KB
2. Availability on Blob Storage.mp4	4.5 MB
2. Availability on Blob Storage.vtt	4.1 KB
3. Azure SQL High Availability.mp4	9.2 MB
3. Azure SQL High Availability.vtt	9.2 KB
4. Azure SQL Datawarehouse Availability.mp4	1.5 MB
4. Azure SQL Datawarehouse Availability.vtt	1.7 KB
5. Cosmos DB Availability.mp4	5.7 MB
5. Cosmos DB Availability.vtt	5.5 KB
6. Availability on Other Azure Services.mp4	1.7 MB
6. Availability on Other Azure Services.vtt	2.0 KB
7. High Quality Datasets.mp4	4.0 MB
7. High Quality Datasets.vtt	4.4 KB
8. Azure Availability Features.mp4	15.3 MB
8. Azure Availability Features.vtt	7.7 KB
9. Module Summary.mp4	1.1 MB
9. Module Summary.vtt	1.3 KB
/.../4. Assessing Ethical and Legal Data Compliance/
1. Ethical and Legal Compliance.mp4	6.9 MB
1. Ethical and Legal Compliance.vtt	7.7 KB
2. Encryption in Azure.mp4	2.2 MB
2. Encryption in Azure.vtt	2.2 KB
3. Demo - Azure Security, Privacy, and Compliance.mp4	13.8 MB
3. Demo - Azure Security, Privacy, and Compliance.vtt	3.3 KB
4. Module Summary.mp4	1.2 MB
4. Module Summary.vtt	1.6 KB
/A3. Communicating Expectations to the Business (Benjamin Culbertson, 2019)/
exercise.7z	1.2 MB
playlist.m3u	1.8 KB
~i.txt	2.0 KB
/1. Course Overview/
1. Course Overview.mp4	2.6 MB
1. Course Overview.vtt	2.0 KB
/.../2. Reviewing Available Data with Stakeholders/
1. Overview.mp4	1.5 MB
1. Overview.vtt	1.5 KB
2. The Use Case - Media Insights Solution.mp4	2.8 MB
2. The Use Case - Media Insights Solution.vtt	2.8 KB
3. Available Data Sources.mp4	2.8 MB
3. Available Data Sources.vtt	2.4 KB
4. Bring in the SME.mp4	2.2 MB
4. Bring in the SME.vtt	1.9 KB
5. Exploratory Data Analysis Tools.mp4	1.9 MB
5. Exploratory Data Analysis Tools.vtt	2.1 KB
6. The Format of the Data.mp4	2.8 MB
6. The Format of the Data.vtt	2.7 KB
7. Summary.mp4	1.6 MB
7. Summary.vtt	1.5 KB
/.../3. Communicating Barriers to Data Access to Stakeholders/
1. Overview.mp4	1.3 MB
1. Overview.vtt	1.2 KB
2. The Problem with the Internal Data.mp4	2.6 MB
2. The Problem with the Internal Data.vtt	2.3 KB
3. Your New Data Broker.mp4	3.1 MB
3. Your New Data Broker.vtt	2.5 KB
4. The Budget Barrier and Solution.mp4	3.4 MB
4. The Budget Barrier and Solution.vtt	2.8 KB
5. Personally Identifiable Information (PII).mp4	3.6 MB
5. Personally Identifiable Information (PII).vtt	3.2 KB
6. Ethical and Legal Barriers to Data Use.mp4	3.0 MB
6. Ethical and Legal Barriers to Data Use.vtt	2.4 KB
7. Summary.mp4	1.5 MB
7. Summary.vtt	1.4 KB
/.../4. Recommending Next Steps Based on Available Data/
1. Overview.mp4	1.7 MB
1. Overview.vtt	1.5 KB
2. A New Problem to Be Solved.mp4	3.5 MB
2. A New Problem to Be Solved.vtt	3.0 KB
3. Synthetic Training Data.mp4	5.6 MB
3. Synthetic Training Data.vtt	5.0 KB
4. The Complete Media Insights Solution.mp4	3.5 MB
4. The Complete Media Insights Solution.vtt	3.1 KB
5. Testing for Validity.mp4	3.5 MB
5. Testing for Validity.vtt	2.7 KB
6. Correlation vs. Causation.mp4	3.8 MB
6. Correlation vs. Causation.vtt	3.1 KB
7. The Big Ask.mp4	2.3 MB
7. The Big Ask.vtt	2.2 KB
8. Summary.mp4	1.7 MB
8. Summary.vtt	1.6 KB
/B1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/
~i.txt	2.2 KB
/B2. Sourcing Data in Microsoft Azure (Jared Rhodes, 2019)/
exercise.7z	9.3 MB
playlist.m3u	1.0 KB
~i.txt	1.5 KB
/1. Course Overview/
1. Course Overview.mp4	3.0 MB
1. Course Overview.vtt	2.1 KB
/.../2. Identifying Potential Data Sources/
1. Intro.mp4	2.0 MB
1. Intro.vtt	2.1 KB
2. Data.mp4	14.6 MB
2. Data.vtt	17.3 KB
3. Discovering Data.mp4	7.9 MB
3. Discovering Data.vtt	9.7 KB
4. Azure Data Catalog.mp4	9.5 MB
4. Azure Data Catalog.vtt	12.0 KB
5. Azure Data Catalog Demo.mp4	11.1 MB
5. Azure Data Catalog Demo.vtt	5.9 KB
6. Azure Open Datasets.mp4	2.5 MB
6. Azure Open Datasets.vtt	3.2 KB
7. Azure Open Datasets Demo.mp4	10.0 MB
7. Azure Open Datasets Demo.vtt	3.0 KB
/.../3. Extracting and Loading Data into an Azure Workflow/
1. Intro.mp4	1.0 MB
1. Intro.vtt	1.1 KB
2. Extracting and Loading.mp4	8.6 MB
2. Extracting and Loading.vtt	10.3 KB
3. Azure Data Factory.mp4	8.0 MB
3. Azure Data Factory.vtt	10.1 KB
4. Azure Data Factory Demo.mp4	22.0 MB
4. Azure Data Factory Demo.vtt	11.2 KB
5. HD Insights.mp4	6.6 MB
5. HD Insights.vtt	7.6 KB
6. HD Insights Demo.mp4	34.4 MB
6. HD Insights Demo.vtt	9.0 KB
7. Review.mp4	1.6 MB
7. Review.vtt	1.8 KB
/B3. Cleaning and Preparing Data in Microsoft Azure (Jared Rhodes, 2019)/
exercise.7z	7.2 MB
playlist.m3u	0.8 KB
~i.txt	1.5 KB
/1. Course Overview/
1. Course Overview.mp4	3.1 MB
1. Course Overview.vtt	1.9 KB
/.../2. Transforming Data into Usable Datasets/
1. Intro.mp4	1.6 MB
1. Intro.vtt	1.8 KB
2. Data Structures.mp4	15.4 MB
2. Data Structures.vtt	19.3 KB
3. R Demo.mp4	18.0 MB
3. R Demo.vtt	6.5 KB
4. Python Demo.mp4	16.3 MB
4. Python Demo.vtt	8.0 KB
5. Large Data Sets.mp4	9.1 MB
5. Large Data Sets.vtt	11.1 KB
6. SQL Data Sampling.mp4	8.8 MB
6. SQL Data Sampling.vtt	4.4 KB
7. Bad Data.mp4	11.2 MB
7. Bad Data.vtt	13.1 KB
8. Handling Bad Data.mp4	6.9 MB
8. Handling Bad Data.vtt	4.4 KB
9. Review.mp4	812.4 KB
9. Review.vtt	1.0 KB
/3. Wrangling Data/
1. Intro.mp4	685.4 KB
1. Intro.vtt	0.9 KB
2. Aggregation.mp4	7.3 MB
2. Aggregation.vtt	8.9 KB
3. Azure Notebooks Demo.mp4	7.1 MB
3. Azure Notebooks Demo.vtt	3.8 KB
4. Data Labeling.mp4	6.2 MB
4. Data Labeling.vtt	6.8 KB
5. Multiple Data Sets.mp4	3.1 MB
5. Multiple Data Sets.vtt	4.2 KB
6. Review.mp4	1.5 MB
6. Review.vtt	1.8 KB
/B4. Combining and Shaping Data (Janani Ravi, 2020)/
~i.txt	2.2 KB
/C1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/
~i.txt	2.3 KB
/C2. Experimental Design for Data Analysis (Janani Ravi, 2019)/
~i.txt	2.5 KB
/C3. Interpreting Data with Statistical Models (Axel Sirota, 2020)/
~i.txt	1.8 KB
/C4. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/
~i.txt	1.7 KB
/C5. Communicating Data Insights (Janani Ravi, 2020)/
~i.txt	2.1 KB
/D1. Building Your First Data Science Project in Microsoft Azure (Jared Rhodes, 2020)/
exercise.7z	1.1 MB
playlist.m3u	1.0 KB
~i.txt	1.6 KB
/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	1.6 KB
/.../2. Determining Which Tools to Use/
1. Introduction.mp4	1.9 MB
1. Introduction.vtt	2.3 KB
2. Introduction to Data Science.mp4	12.7 MB
2. Introduction to Data Science.vtt	16.1 KB
3. Identifying Constraints.mp4	9.1 MB
3. Identifying Constraints.vtt	11.2 KB
4. Tools.mp4	24.2 MB
4. Tools.vtt	31.4 KB
/.../3. Setting up a Development Environment/
1. Introduction.mp4	1.0 MB
1. Introduction.vtt	1.2 KB
2. Provisioning an Environment.mp4	11.3 MB
2. Provisioning an Environment.vtt	11.9 KB
3. Creating a DSVM.mp4	10.6 MB
3. Creating a DSVM.vtt	4.3 KB
4. Version Management.mp4	4.5 MB
4. Version Management.vtt	5.1 KB
5. Environment Management.mp4	4.7 MB
5. Environment Management.vtt	6.0 KB
/.../4. Using the New Development Environment/
1. Overview.mp4	1.2 MB
1. Overview.vtt	1.5 KB
2. Running a Test Experiment.mp4	7.7 MB
2. Running a Test Experiment.vtt	8.4 KB
3. Iris Demo.mp4	22.1 MB
3. Iris Demo.vtt	7.9 KB
4. Saving Work.mp4	6.9 MB
4. Saving Work.vtt	7.2 KB
5. Azure Backup Services Demo.mp4	14.2 MB
5. Azure Backup Services Demo.vtt	5.4 KB
6. Course Review.mp4	1.8 MB
6. Course Review.vtt	2.4 KB
/D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/
exercise.7z	7.5 MB
playlist.m3u	2.9 KB
~i.txt	2.1 KB
/1. Course Overview/
1. Course Overview.mp4	4.8 MB
1. Course Overview.vtt	2.5 KB
/.../2. Azure Data Explorer (ADX) Overview/
1. Module Overview.mp4	4.9 MB
1. Module Overview.vtt	4.6 KB
2. Data Science Overview.mp4	6.1 MB
2. Data Science Overview.vtt	4.0 KB
3. Data Exploration and Visualization.mp4	7.1 MB
3. Data Exploration and Visualization.vtt	5.1 KB
4. Data Exploration in Azure (ADX).mp4	7.0 MB
4. Data Exploration in Azure (ADX).vtt	5.2 KB
5. Azure Data Explorer Features.mp4	2.9 MB
5. Azure Data Explorer Features.vtt	2.5 KB
6. Azure Data Explorer Capabilities.mp4	7.2 MB
6. Azure Data Explorer Capabilities.vtt	7.1 KB
7. ADX Pricing.mp4	3.4 MB
7. ADX Pricing.vtt	1.8 KB
8. Summary.mp4	1.2 MB
8. Summary.vtt	1.1 KB
/.../3. Building the ADX Environment/
1. Module Overview.mp4	1.2 MB
1. Module Overview.vtt	1.0 KB
2. Demo - Create ADX Cluster Using Azure Portal.mp4	11.1 MB
2. Demo - Create ADX Cluster Using Azure Portal.vtt	5.7 KB
3. Create ADX Cluster Using PowerShell.mp4	12.8 MB
3. Create ADX Cluster Using PowerShell.vtt	7.3 KB
4. Demo - Create ADX Cluster Using PowerShell.mp4	20.8 MB
4. Demo - Create ADX Cluster Using PowerShell.vtt	10.2 KB
5. Create ADX Cluster Using Command Line Interface.mp4	5.6 MB
5. Create ADX Cluster Using Command Line Interface.vtt	3.5 KB
6. Demo - Create ADX Cluster Using Command Line Interface.mp4	11.7 MB
6. Demo - Create ADX Cluster Using Command Line Interface.vtt	6.5 KB
7. Summary.mp4	1.2 MB
7. Summary.vtt	1.0 KB
/.../4. Using the Kusto Query Language (KQL)/
1. Module Overview.mp4	2.2 MB
1. Module Overview.vtt	1.9 KB
2. Understanding the Kusto Query Language (KQL).mp4	4.7 MB
2. Understanding the Kusto Query Language (KQL).vtt	3.6 KB
3. Schema Mapping in KQL.mp4	1.3 MB
3. Schema Mapping in KQL.vtt	1.2 KB
4. Available KQL Demo Platforms.mp4	1.6 MB
4. Available KQL Demo Platforms.vtt	1.4 KB
5. Demo - Working with KQL - Basic.mp4	39.0 MB
5. Demo - Working with KQL - Basic.vtt	18.3 KB
6. Demo - Working with KQL - Timeseries.mp4	44.0 MB
6. Demo - Working with KQL - Timeseries.vtt	18.6 KB
7. Demo - Data Obfuscation in KQL.mp4	19.6 MB
7. Demo - Data Obfuscation in KQL.vtt	8.0 KB
8. Demo - Data Sharing and Visualization Using Power BI.mp4	21.0 MB
8. Demo - Data Sharing and Visualization Using Power BI.vtt	8.9 KB
9. Summary.mp4	1.6 MB
9. Summary.vtt	1.1 KB
/.../5. Data Ingestion for ADX/
1. Module Overview.mp4	1.1 MB
1. Module Overview.vtt	1.0 KB
2. KQL Schema Mapping for Data Ingestion.mp4	5.7 MB
2. KQL Schema Mapping for Data Ingestion.vtt	4.4 KB
3. Data Ingestion in Azure.mp4	3.1 MB
3. Data Ingestion in Azure.vtt	2.8 KB
4. EventHubs Overview.mp4	1.8 MB
4. EventHubs Overview.vtt	1.4 KB
5. EventGrids Overview.mp4	3.3 MB
5. EventGrids Overview.vtt	2.6 KB
6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.mp4	36.5 MB
6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.vtt	11.8 KB
7. Demo - Data Ingestion Using EventGrids and Blob Storage.mp4	21.8 MB
7. Demo - Data Ingestion Using EventGrids and Blob Storage.vtt	9.7 KB
8. Summary.mp4	1.5 MB
8. Summary.vtt	1.4 KB
/.../6. Managing Azure Data Explorer/
1. Module Overview.mp4	1.9 MB
1. Module Overview.vtt	1.8 KB
2. Managing ADX Database Permissions.mp4	3.9 MB
2. Managing ADX Database Permissions.vtt	2.5 KB
3. ADX Health and Performance Monitoring.mp4	3.6 MB
3. ADX Health and Performance Monitoring.vtt	2.5 KB
4. Scaling the ADX Cluster.mp4	3.3 MB
4. Scaling the ADX Cluster.vtt	2.3 KB
5. Demo - Managing ADX Database Permissions.mp4	24.2 MB
5. Demo - Managing ADX Database Permissions.vtt	10.0 KB
6. Demo - ADX Health and Performance Monitoring.mp4	17.5 MB
6. Demo - ADX Health and Performance Monitoring.vtt	8.6 KB
7. Demo - Scaling the ADX Cluster.mp4	17.9 MB
7. Demo - Scaling the ADX Cluster.vtt	8.7 KB
8. Summary.mp4	1.7 MB
8. Summary.vtt	1.6 KB
/D3. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/
~i.txt	1.9 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/
exercise.7z	4.3 MB
playlist.m3u	5.6 KB
~i.txt	1.8 KB
/1. Course Overview/
1. Course Overview.mp4	3.9 MB
1. Course Overview.vtt	2.0 KB
/.../2. Getting Started with Azure Machine Learning/
1. Introduction.mp4	4.1 MB
1. Introduction.vtt	3.5 KB
2. What Is Machine Learning.mp4	4.9 MB
2. What Is Machine Learning.vtt	4.3 KB
3. Introduction to Azure Machine Learning.mp4	3.5 MB
3. Introduction to Azure Machine Learning.vtt	3.5 KB
4. Azure Machine Learning Experiment Workflow.mp4	3.3 MB
4. Azure Machine Learning Experiment Workflow.vtt	3.1 KB
5. Prerequisites.mp4	580.6 KB
5. Prerequisites.vtt	0.8 KB
6. Demo - Creating an Azure Machine Learning Studio Workspace.mp4	11.9 MB
6. Demo - Creating an Azure Machine Learning Studio Workspace.vtt	5.7 KB
7. Demo - Creating an Azure Machine Learning Service Workspace.mp4	7.6 MB
7. Demo - Creating an Azure Machine Learning Service Workspace.vtt	3.2 KB
8. Demo - Exploring the Dataset.mp4	9.7 MB
8. Demo - Exploring the Dataset.vtt	3.8 KB
9. Summary.mp4	1.2 MB
9. Summary.vtt	1.2 KB
/.../3. Differentiating Data, Features, Targets, and Models/
1. Introduction.mp4	1.2 MB
1. Introduction.vtt	1.3 KB
2. Moving from Raw Data to Features.mp4	2.4 MB
2. Moving from Raw Data to Features.vtt	2.3 KB
3. 6 Characteristics of a Good Feature.mp4	8.8 MB
3. 6 Characteristics of a Good Feature.vtt	7.2 KB
4. Define Target for ML Problems.mp4	5.0 MB
4. Define Target for ML Problems.vtt	5.3 KB
5. Demo - Exploring Datasets for Different Problems.mp4	4.6 MB
5. Demo - Exploring Datasets for Different Problems.vtt	1.8 KB
6. How Algorithms Learn Models.mp4	1.7 MB
6. How Algorithms Learn Models.vtt	1.7 KB
7. Demo - Modifying the Metadata of Datasets.mp4	9.5 MB
7. Demo - Modifying the Metadata of Datasets.vtt	3.2 KB
8. Summary.mp4	1.6 MB
8. Summary.vtt	1.3 KB
/.../4. Preparing Input Data for Machine Learning Models/
01. Introduction.mp4	1.9 MB
01. Introduction.vtt	1.7 KB
02. Data Preprocessing Methods.mp4	661.4 KB
02. Data Preprocessing Methods.vtt	0.7 KB
03. Demo - Exploratory Data Analysis.mp4	15.1 MB
03. Demo - Exploratory Data Analysis.vtt	8.0 KB
04. Demo - Data Cleaning (Erroneous Data).mp4	7.8 MB
04. Demo - Data Cleaning (Erroneous Data).vtt	2.7 KB
05. Demo - Data Cleaning (Outliers).mp4	7.3 MB
05. Demo - Data Cleaning (Outliers).vtt	3.1 KB
06. Demo - Data Cleaning (Duplicate Rows).mp4	4.7 MB
06. Demo - Data Cleaning (Duplicate Rows).vtt	2.0 KB
07. Demo - Data Transformation.mp4	9.9 MB
07. Demo - Data Transformation.vtt	4.8 KB
08. Demo - Reducing Data (Record Sampling).mp4	5.4 MB
08. Demo - Reducing Data (Record Sampling).vtt	2.8 KB
09. Demo - Reducing Data (Attribute Sampling).mp4	2.7 MB
09. Demo - Reducing Data (Attribute Sampling).vtt	1.0 KB
10. Demo - Discretizing Data.mp4	8.1 MB
10. Demo - Discretizing Data.vtt	3.4 KB
11. Entropy-based Discretization.mp4	3.6 MB
11. Entropy-based Discretization.vtt	3.5 KB
12. Demo - Entropy-based Discretization.mp4	1.9 MB
12. Demo - Entropy-based Discretization.vtt	0.8 KB
13. Summary.mp4	1.2 MB
13. Summary.vtt	1.0 KB
/.../5. Handling Missing Data/
01. Introduction.mp4	1.5 MB
01. Introduction.vtt	1.4 KB
02. Reasons Why Data Is Missing.mp4	2.1 MB
02. Reasons Why Data Is Missing.vtt	1.7 KB
03. Demo - Listwise Deletion.mp4	9.2 MB
03. Demo - Listwise Deletion.vtt	3.1 KB
04. Problems in Deleting Rows.mp4	3.8 MB
04. Problems in Deleting Rows.vtt	3.0 KB
05. Demo - Using Indicator Variables.mp4	6.5 MB
05. Demo - Using Indicator Variables.vtt	2.4 KB
06. Replace with Mean, Median, and Mode.mp4	2.9 MB
06. Replace with Mean, Median, and Mode.vtt	3.0 KB
07. Disadvantages of Single Imputation Methods.mp4	3.2 MB
07. Disadvantages of Single Imputation Methods.vtt	2.9 KB
08. Demo - Replace with MICE.mp4	6.3 MB
08. Demo - Replace with MICE.vtt	2.1 KB
09. How MICE Works.mp4	2.3 MB
09. How MICE Works.vtt	2.5 KB
10. Summary.mp4	803.6 KB
10. Summary.vtt	1.0 KB
/.../6. Role of Feature Engineering in Machine Learning/
1. Introduction.mp4	1.2 MB
1. Introduction.vtt	1.1 KB
2. Why Feature Engineering.mp4	4.3 MB
2. Why Feature Engineering.vtt	3.2 KB
3. Role of Feature Engineering in Model Complexity.mp4	3.0 MB
3. Role of Feature Engineering in Model Complexity.vtt	2.9 KB
4. Build Better Models with Feature Engineering.mp4	2.9 MB
4. Build Better Models with Feature Engineering.vtt	2.9 KB
5. Feature Engineering Numeric Variables.mp4	2.6 MB
5. Feature Engineering Numeric Variables.vtt	2.2 KB
6. Feature Engineering Categorical Variables.mp4	3.3 MB
6. Feature Engineering Categorical Variables.vtt	2.7 KB
7. Demo - One-hot Encoding Categorical Variables.mp4	12.8 MB
7. Demo - One-hot Encoding Categorical Variables.vtt	4.8 KB
8. Demo - Learning with Counts Categorical Variables.mp4	10.1 MB
8. Demo - Learning with Counts Categorical Variables.vtt	4.8 KB
9. Summary.mp4	1.5 MB
9. Summary.vtt	1.2 KB
/.../7. Split a Data Set into Training and Testing Subsets/
1. Introduction.mp4	2.1 MB
1. Introduction.vtt	2.0 KB
2. Demo - Training and Testing on Same Data.mp4	10.9 MB
2. Demo - Training and Testing on Same Data.vtt	4.8 KB
3. Demo - Split Data into Training and Test Set.mp4	8.6 MB
3. Demo - Split Data into Training and Test Set.vtt	4.5 KB
4. Splitting Data for Model Tuning.mp4	12.0 MB
4. Splitting Data for Model Tuning.vtt	5.5 KB
5. Demo - Cross-validation.mp4	11.5 MB
5. Demo - Cross-validation.vtt	5.7 KB
6. Demo - Model Selection.mp4	9.5 MB
6. Demo - Model Selection.vtt	3.9 KB
7. Leave-one-out Cross Validation.mp4	1.9 MB
7. Leave-one-out Cross Validation.vtt	1.8 KB
8. Summary.mp4	1.5 MB
8. Summary.vtt	1.2 KB
/.../8. Identify Data-level Issues In Machine Learning Models/
1. Introduction.mp4	1.3 MB
1. Introduction.vtt	1.1 KB
2. Imbalanced Dataset for Classification Problems.mp4	2.7 MB
2. Imbalanced Dataset for Classification Problems.vtt	2.5 KB
3. Demo - SMOTE.mp4	5.7 MB
3. Demo - SMOTE.vtt	2.2 KB
4. Data Scale Issues in Distance-based Models.mp4	3.5 MB
4. Data Scale Issues in Distance-based Models.vtt	3.0 KB
5. Multicollinearity Problem in Regression Models.mp4	3.5 MB
5. Multicollinearity Problem in Regression Models.vtt	2.9 KB
6. Outliers in Regression Models.mp4	3.5 MB
6. Outliers in Regression Models.vtt	3.8 KB
7. Problem with High-dimensional Datasets.mp4	4.2 MB
7. Problem with High-dimensional Datasets.vtt	3.7 KB
8. Summary.mp4	1.4 MB
8. Summary.vtt	1.2 KB
/E2. Building Features from Nominal and Numeric Data in Microsoft Azure (Mike West, 2019)/
exercise.7z	3.8 MB
playlist.m3u	2.7 KB
~i.txt	1.7 KB
/1. Course Overview/
1. Course Overview.mp4	3.8 MB
1. Course Overview.vtt	3.4 KB
/.../2. Setting the Stage/
01. Module Overview.mp4	3.4 MB
01. Module Overview.vtt	4.0 KB
02. Is This Course for You.mp4	2.4 MB
02. Is This Course for You.vtt	2.8 KB
03. Skills Recommended for This Course.mp4	1.8 MB
03. Skills Recommended for This Course.vtt	2.5 KB
04. Measures of Central Tendency.mp4	2.4 MB
04. Measures of Central Tendency.vtt	2.8 KB
05. Measures of Variability.mp4	3.8 MB
05. Measures of Variability.vtt	4.6 KB
06. Modality and Skewness.mp4	3.2 MB
06. Modality and Skewness.vtt	4.1 KB
07. Kurtosis.mp4	1.7 MB
07. Kurtosis.vtt	2.3 KB
08. Gaussian Distributions.mp4	9.9 MB
08. Gaussian Distributions.vtt	8.0 KB
09. Calculating the Mean, Median, and Mode.mp4	6.4 MB
09. Calculating the Mean, Median, and Mode.vtt	5.5 KB
10. Summary.mp4	3.6 MB
10. Summary.vtt	4.2 KB
/.../3. Approaching Normalization and Standardization/
1. Introduction.mp4	1.8 MB
1. Introduction.vtt	2.3 KB
2. Machine Learning Process Distilled.mp4	4.3 MB
2. Machine Learning Process Distilled.vtt	5.7 KB
3. Outlier Detection and Imputation.mp4	3.1 MB
3. Outlier Detection and Imputation.vtt	4.4 KB
4. Demo - Outlier Detection in Python.mp4	12.5 MB
4. Demo - Outlier Detection in Python.vtt	9.7 KB
5. Demo - Imputation in Python.mp4	8.0 MB
5. Demo - Imputation in Python.vtt	4.6 KB
6. Standardization and Normalization.mp4	2.8 MB
6. Standardization and Normalization.vtt	2.9 KB
7. Demo - Normalize and Standardize in Python.mp4	2.5 MB
7. Demo - Normalize and Standardize in Python.vtt	2.2 KB
8. Summary.mp4	1.8 MB
8. Summary.vtt	2.2 KB
/.../4. Defining Normalization and Standardization Techniques/
01. Module Overview.mp4	2.5 MB
01. Module Overview.vtt	2.9 KB
02. Common Scaling Approaches.mp4	3.3 MB
02. Common Scaling Approaches.vtt	3.7 KB
03. Demo - Common Scaling Approaches.mp4	6.5 MB
03. Demo - Common Scaling Approaches.vtt	4.1 KB
04. Binning.mp4	2.2 MB
04. Binning.vtt	2.4 KB
05. Demo - Binning.mp4	3.4 MB
05. Demo - Binning.vtt	2.6 KB
06. Heteroscedasticity.mp4	1.6 MB
06. Heteroscedasticity.vtt	2.0 KB
07. Demo - Correcting Heteroscedasticity.mp4	4.2 MB
07. Demo - Correcting Heteroscedasticity.vtt	3.2 KB
08. Z-score.mp4	2.0 MB
08. Z-score.vtt	2.4 KB
09. Demo - Z-score.mp4	4.3 MB
09. Demo - Z-score.vtt	3.5 KB
10. Summary.mp4	2.7 MB
10. Summary.vtt	3.0 KB
/.../5. Leveraging Nominal Data in Machine Learning/
1. Module Overview.mp4	2.0 MB
1. Module Overview.vtt	2.3 KB
2. Data Types in Statistics.mp4	1.8 MB
2. Data Types in Statistics.vtt	2.2 KB
3. Data Measurement Scales.mp4	4.4 MB
3. Data Measurement Scales.vtt	5.1 KB
4. Problems with Categorical Data.mp4	2.2 MB
4. Problems with Categorical Data.vtt	2.3 KB
5. One-hot Encoding.mp4	1.2 MB
5. One-hot Encoding.vtt	1.4 KB
6. Demo - Label and One-hot Encoding.mp4	3.2 MB
6. Demo - Label and One-hot Encoding.vtt	2.9 KB
7. Demo - Label Encoding and XGBoost.mp4	4.5 MB
7. Demo - Label Encoding and XGBoost.vtt	3.4 KB
8. Summary.mp4	2.2 MB
8. Summary.vtt	2.9 KB
/E3. Feature Selection and Extraction in Microsoft Azure (Xavier Morera, 2019)/
exercise.7z	11.8 MB
playlist.m3u	2.2 KB
~i.txt	1.6 KB
/1. Course Overview/
1. Course Overview.mp4	3.1 MB
1. Course Overview.vtt	2.0 KB
/.../2. Exploring Your Dataset for Feature Selection and Extraction/
1. Exploring Your Dataset for Feature Selection and Extraction.mp4	3.6 MB
1. Exploring Your Dataset for Feature Selection and Extraction.vtt	2.5 KB
2. What Is a Feature in Machine Learning.mp4	10.3 MB
2. What Is a Feature in Machine Learning.vtt	6.2 KB
3. Exploring Your Data and Identifying the Distribution of Your Da.mp4	6.6 MB
3. Exploring Your Data and Identifying the Distribution of Your Da.vtt	6.9 KB
4. Determining the Feature Structure Appropriate for the Algorithm.mp4	3.6 MB
4. Determining the Feature Structure Appropriate for the Algorithm.vtt	2.3 KB
5. Dataset Exploration Demo.mp4	13.8 MB
5. Dataset Exploration Demo.vtt	6.8 KB
6. Takeaway.mp4	1.4 MB
6. Takeaway.vtt	1.4 KB
/.../3. Performing Feature Extraction/
1. What Is Feature Extraction.mp4	2.2 MB
1. What Is Feature Extraction.vtt	1.9 KB
2. Performing Feature Extraction.mp4	15.8 MB
2. Performing Feature Extraction.vtt	10.9 KB
3. Creating and Using Feature Extraction Algorithms.mp4	3.4 MB
3. Creating and Using Feature Extraction Algorithms.vtt	3.1 KB
4. Performing Feature Extraction on Unstructured Text.mp4	18.2 MB
4. Performing Feature Extraction on Unstructured Text.vtt	7.9 KB
5. Demo - Human Face or Not Human Face.mp4	15.3 MB
5. Demo - Human Face or Not Human Face.vtt	7.6 KB
6. Takeaway.mp4	843.6 KB
6. Takeaway.vtt	0.9 KB
/.../4. Performing Feature Normalization/
1. Performing Feature Normalization.mp4	5.2 MB
1. Performing Feature Normalization.vtt	1.6 KB
2. Understanding Feature Normalization.mp4	2.9 MB
2. Understanding Feature Normalization.vtt	2.9 KB
3. Clip Values Demo.mp4	9.4 MB
3. Clip Values Demo.vtt	4.5 KB
4. Group Data into Bins Demo.mp4	8.0 MB
4. Group Data into Bins Demo.vtt	4.4 KB
5. Normalize Data Demo.mp4	9.8 MB
5. Normalize Data Demo.vtt	3.3 KB
6. Principal Component Analysis Demo.mp4	8.1 MB
6. Principal Component Analysis Demo.vtt	3.8 KB
7. Encoding Features Demo.mp4	10.0 MB
7. Encoding Features Demo.vtt	5.2 KB
8. Takeaway.mp4	1.3 MB
8. Takeaway.vtt	1.3 KB
/.../5. Performing Feature Selection/
1. Performing Feature Selection.mp4	2.4 MB
1. Performing Feature Selection.vtt	2.7 KB
2. Understanding Feature Selection.mp4	2.6 MB
2. Understanding Feature Selection.vtt	2.7 KB
3. Fliter Based Feature Selection Demo.mp4	7.2 MB
3. Fliter Based Feature Selection Demo.vtt	3.8 KB
4. Fisher Linear Discriminant Analysis Demo.mp4	13.3 MB
4. Fisher Linear Discriminant Analysis Demo.vtt	8.1 KB
5. Permutation Feature Importance Demo.mp4	8.7 MB
5. Permutation Feature Importance Demo.vtt	5.3 KB
6. Compute Linear Correlation Demo.mp4	13.3 MB
6. Compute Linear Correlation Demo.vtt	6.7 KB
7. Takeaway.mp4	1.8 MB
7. Takeaway.vtt	1.8 KB
/6. Final Takeaway/
1. Final Takeaway.mp4	2.7 MB
1. Final Takeaway.vtt	2.7 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/
exercise.7z	3.9 MB
playlist.m3u	3.6 KB
~i.txt	2.1 KB
/1. Course Overview/
1. Course Overview.mp4	3.5 MB
1. Course Overview.vtt	2.8 KB
/.../2. Processing and Simplifying Text to Simplify Feature Creation/
01. Module Overview.mp4	3.7 MB
01. Module Overview.vtt	3.5 KB
02. Prerequisites.mp4	4.6 MB
02. Prerequisites.vtt	4.5 KB
03. Demo - Configure AMLS.mp4	9.9 MB
03. Demo - Configure AMLS.vtt	5.6 KB
04. Preprocessing and NLP.mp4	3.2 MB
04. Preprocessing and NLP.vtt	3.1 KB
05. Tokenization and Cleaning.mp4	5.6 MB
05. Tokenization and Cleaning.vtt	4.9 KB
06. Demo - Sentence and Word Tokenization.mp4	8.2 MB
06. Demo - Sentence and Word Tokenization.vtt	5.6 KB
07. Demo - NLTK Tokenizers.mp4	8.9 MB
07. Demo - NLTK Tokenizers.vtt	4.5 KB
08. Demo - Token Cleaning.mp4	3.5 MB
08. Demo - Token Cleaning.vtt	2.3 KB
09. Stopword Removal.mp4	2.2 MB
09. Stopword Removal.vtt	1.5 KB
10. Demo - Stopword Removal.mp4	10.5 MB
10. Demo - Stopword Removal.vtt	6.2 KB
11. Frequency Filtering.mp4	2.0 MB
11. Frequency Filtering.vtt	1.8 KB
12. Demo - Frequency Filtering.mp4	10.8 MB
12. Demo - Frequency Filtering.vtt	6.3 KB
13. Stemming.mp4	2.2 MB
13. Stemming.vtt	2.1 KB
14. Demo - Stemming.mp4	5.3 MB
14. Demo - Stemming.vtt	3.7 KB
15. Parts-of-speech Tagging.mp4	2.1 MB
15. Parts-of-speech Tagging.vtt	1.5 KB
16. Demo - Parts-of-speech.mp4	3.9 MB
16. Demo - Parts-of-speech.vtt	2.0 KB
17. Lemmatization.mp4	2.2 MB
17. Lemmatization.vtt	2.0 KB
18. Demo - Lemmatization.mp4	4.5 MB
18. Demo - Lemmatization.vtt	2.9 KB
19. N-grams.mp4	3.1 MB
19. N-grams.vtt	2.8 KB
20. Demo - N-grams.mp4	7.4 MB
20. Demo - N-grams.vtt	4.5 KB
21. Module Summary.mp4	3.5 MB
21. Module Summary.vtt	3.3 KB
/.../3. Building Features Around Text Data for Use in Machine Learning Models/
01. Module Overview.mp4	3.4 MB
01. Module Overview.vtt	3.2 KB
02. Encoding Text as Numbers.mp4	6.4 MB
02. Encoding Text as Numbers.vtt	5.2 KB
03. One-hot and Count Vector Encoding.mp4	8.6 MB
03. One-hot and Count Vector Encoding.vtt	7.3 KB
04. Demo - Bag-of-words.mp4	7.3 MB
04. Demo - Bag-of-words.vtt	5.4 KB
05. Demo - Bag-of-n-grams.mp4	4.6 MB
05. Demo - Bag-of-n-grams.vtt	2.9 KB
06. TF-IDF Encoding.mp4	3.1 MB
06. TF-IDF Encoding.vtt	2.7 KB
07. Demo - TF-IDF Encoding.mp4	8.3 MB
07. Demo - TF-IDF Encoding.vtt	5.0 KB
08. Word Embeddings.mp4	4.7 MB
08. Word Embeddings.vtt	3.4 KB
09. Demo - Word Embeddings Using Word2Vec.mp4	10.0 MB
09. Demo - Word Embeddings Using Word2Vec.vtt	5.1 KB
10. Feature Hashing.mp4	6.3 MB
10. Feature Hashing.vtt	4.9 KB
11. Demo - The Hashing Trick.mp4	12.0 MB
11. Demo - The Hashing Trick.vtt	7.6 KB
12. Locality-sensitive Hashing.mp4	4.9 MB
12. Locality-sensitive Hashing.vtt	3.5 KB
13. Demo - Locality-sensitive Hashing.mp4	10.1 MB
13. Demo - Locality-sensitive Hashing.vtt	6.2 KB
14. BERT.mp4	6.3 MB
14. BERT.vtt	5.2 KB
15. Demo - Word Embeddings with BERT on AMLS.mp4	18.3 MB
15. Demo - Word Embeddings with BERT on AMLS.vtt	9.4 KB
16. Summary.mp4	2.4 MB
16. Summary.vtt	2.4 KB
/E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/
exercise.7z	45.9 MB
playlist.m3u	1.7 KB
~i.txt	1.9 KB
/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	2.2 KB
/.../2. Exploring Computer Vision on Azure/
1. Overview.mp4	2.3 MB
1. Overview.vtt	2.2 KB
2. Introduction to Computer Vision.mp4	13.1 MB
2. Introduction to Computer Vision.vtt	12.6 KB
3. Approaches to Computer Vision.mp4	9.0 MB
3. Approaches to Computer Vision.vtt	10.6 KB
4. Azure Services for Computer Vision.mp4	8.1 MB
4. Azure Services for Computer Vision.vtt	8.5 KB
5. Launching a Notebook Instance.mp4	13.5 MB
5. Launching a Notebook Instance.vtt	7.1 KB
6. Summary.mp4	1.8 MB
6. Summary.vtt	2.0 KB
/.../3. Utilizing the SIFT and HOG Algorithms for Feature Detection/
1. Overview.mp4	1.8 MB
1. Overview.vtt	2.0 KB
2. Image Processing Techniques.mp4	10.8 MB
2. Image Processing Techniques.vtt	10.1 KB
3. SIFT Introduction.mp4	14.5 MB
3. SIFT Introduction.vtt	14.6 KB
4. Extracting and Matching Features with SIFT.mp4	37.1 MB
4. Extracting and Matching Features with SIFT.vtt	18.5 KB
5. HOG Introduction.mp4	17.4 MB
5. HOG Introduction.vtt	11.8 KB
6. Extracting and Matching Features with HOG.mp4	28.5 MB
6. Extracting and Matching Features with HOG.vtt	10.5 KB
7. Summary.mp4	1.6 MB
7. Summary.vtt	2.0 KB
/.../4. Leveraging Convolutional Neural Networks for Feature Extraction/
1. Overview (1).vtt	2.2 KB
1. Overview.mp4	2.0 MB
1. Overview.vtt	2.2 KB
2. Neural Network Overview.mp4	9.8 MB
2. Neural Network Overview.vtt	12.7 KB
3. Convolutional Neural Network Overview.mp4	12.5 MB
3. Convolutional Neural Network Overview.vtt	14.9 KB
4. Working with MNIST.mp4	20.4 MB
4. Working with MNIST.vtt	7.9 KB
5. Creating a CNN for Classification.mp4	24.4 MB
5. Creating a CNN for Classification.vtt	13.6 KB
6. Summary.mp4	1.7 MB
6. Summary.vtt	1.8 KB
/E6. Reducing Complexity in Data in Microsoft Azure (Steph Locke, 2019)/
exercise.7z	7.0 MB
playlist.m3u	3.2 KB
~i.txt	1.7 KB
/1. Course Overview/
1. Course Overview.mp4	2.6 MB
1. Course Overview.vtt	1.8 KB
/.../2. Understanding How Feature Set Complexity Impacts Model Quality/
1. Introduction and Module Overview.mp4	8.3 MB
1. Introduction and Module Overview.vtt	7.4 KB
2. Feature Set Complexity.mp4	2.8 MB
2. Feature Set Complexity.vtt	2.2 KB
3. Sources of Model Error.mp4	4.7 MB
3. Sources of Model Error.vtt	3.5 KB
4. Measuring and Detecting Problems Due to Feature Set Complexity.mp4	4.1 MB
4. Measuring and Detecting Problems Due to Feature Set Complexity.vtt	2.7 KB
5. How Feature Set Complexity Impacts Model Interpretability.mp4	7.8 MB
5. How Feature Set Complexity Impacts Model Interpretability.vtt	5.9 KB
6. Demo.mp4	18.4 MB
6. Demo.vtt	7.6 KB
7. Summary.mp4	1.9 MB
7. Summary.vtt	1.3 KB
/.../3. Applying Criteria-based Feature Reduction Techniques/
1. Introduction and Module Overview.mp4	5.0 MB
1. Introduction and Module Overview.vtt	3.7 KB
2. Reasons For Feature Elimination.mp4	2.1 MB
2. Reasons For Feature Elimination.vtt	1.8 KB
3. Univariate Techniques.mp4	6.4 MB
3. Univariate Techniques.vtt	4.6 KB
4. How Statistical Tests Work.mp4	6.7 MB
4. How Statistical Tests Work.vtt	4.5 KB
5. Bivariate Techniques.mp4	7.8 MB
5. Bivariate Techniques.vtt	5.3 KB
6. Multivariate Techniques.mp4	4.9 MB
6. Multivariate Techniques.vtt	3.3 KB
7. Demo.mp4	13.4 MB
7. Demo.vtt	4.5 KB
8. Summary.mp4	1.7 MB
8. Summary.vtt	1.2 KB
/.../4. Using Principal Component Analysis to Reduce Numeric Feature Sets/
1. Introduction and Module Overview.mp4	5.0 MB
1. Introduction and Module Overview.vtt	3.5 KB
2. PCA.mp4	5.2 MB
2. PCA.vtt	3.3 KB
3. How PCA Works.mp4	20.2 MB
3. How PCA Works.vtt	12.9 KB
4. KPCA.mp4	5.7 MB
4. KPCA.vtt	4.5 KB
5. PCA Limitations.mp4	4.5 MB
5. PCA Limitations.vtt	3.7 KB
6. Demo.mp4	9.8 MB
6. Demo.vtt	4.9 KB
7. Summary.mp4	2.6 MB
7. Summary.vtt	2.0 KB
/.../5. Processing Categorical or Text Feature Sets/
1. Introduction and Module Overview.mp4	2.5 MB
1. Introduction and Module Overview.vtt	1.9 KB
2. How Can You Process Categorical or Text Feature Sets.mp4	7.7 MB
2. How Can You Process Categorical or Text Feature Sets.vtt	5.4 KB
3. LDA.mp4	9.4 MB
3. LDA.vtt	5.6 KB
4. Dictionary Learning.mp4	5.5 MB
4. Dictionary Learning.vtt	3.8 KB
5. t-SNE.mp4	3.6 MB
5. t-SNE.vtt	2.1 KB
6. Demo.mp4	8.9 MB
6. Demo.vtt	3.6 KB
7. Summary.mp4	1.5 MB
7. Summary.vtt	1.0 KB
/.../6. Going beyond PCA to Reduce Complexity in Numeric Feature Sets/
1. Introduction and Module Overview.mp4	2.7 MB
1. Introduction and Module Overview.vtt	1.7 KB
2. k-means Model Stacking.mp4	4.2 MB
2. k-means Model Stacking.vtt	3.0 KB
3. How k-means Works.mp4	6.6 MB
3. How k-means Works.vtt	4.2 KB
4. Autoencoders.mp4	5.9 MB
4. Autoencoders.vtt	3.9 KB
5. Manifold Learning.mp4	4.3 MB
5. Manifold Learning.vtt	2.9 KB
6. Demo.mp4	8.9 MB
6. Demo.vtt	3.7 KB
7. Summary.mp4	2.1 MB
7. Summary.vtt	1.5 KB
/F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/
exercise.7z	1.6 MB
playlist.m3u	1.3 KB
~i.txt	1.8 KB
/1. Course Overview/
1. Course Overview.mp4	3.5 MB
1. Course Overview.vtt	2.1 KB
/.../2. Understanding Azure Machine Learning service/
1. Overview of Microsoft Azure Machine Learning service.mp4	11.0 MB
1. Overview of Microsoft Azure Machine Learning service.vtt	8.6 KB
2. Creating and Deleting Workspace.mp4	18.7 MB
2. Creating and Deleting Workspace.vtt	6.9 KB
3. Setting up Environments.mp4	17.5 MB
3. Setting up Environments.vtt	5.6 KB
/.../3. Import and Prepare Data for Modeling/
1. Creating and Registering Microsoft AzureML Datastore.mp4	31.3 MB
1. Creating and Registering Microsoft AzureML Datastore.vtt	12.0 KB
2. Data Preprocessing with Microsoft AzureML.mp4	39.4 MB
2. Data Preprocessing with Microsoft AzureML.vtt	9.7 KB
3. Microsoft AzureML Datasets.mp4	14.1 MB
3. Microsoft AzureML Datasets.vtt	5.5 KB
/.../4. Training, Tracking, and Monitoring a Model/
1. Setting up Compute Target.mp4	16.6 MB
1. Setting up Compute Target.vtt	8.0 KB
2. Metrics Logging in AzureML.mp4	17.1 MB
2. Metrics Logging in AzureML.vtt	7.6 KB
3. Setting up Run Object.mp4	9.3 MB
3. Setting up Run Object.vtt	3.2 KB
4. Training Script and Estimators in AzureML.mp4	23.4 MB
4. Training Script and Estimators in AzureML.vtt	9.7 KB
5. Distributed Training in AzureML.mp4	11.7 MB
5. Distributed Training in AzureML.vtt	4.5 KB
/.../5. Tuning Hyperparameters and AutoML/
1. Hyperparameter Tuning - Theory.mp4	12.8 MB
1. Hyperparameter Tuning - Theory.vtt	10.4 KB
2. Hyperparameter Tuning - Demo.mp4	22.2 MB
2. Hyperparameter Tuning - Demo.vtt	5.7 KB
3. Automated Machine Learning Experiment Using Python SDK.mp4	33.4 MB
3. Automated Machine Learning Experiment Using Python SDK.vtt	10.2 KB
4. Automated Machine Learning Experiment Using Visual Interface.mp4	17.2 MB
4. Automated Machine Learning Experiment Using Visual Interface.vtt	7.1 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/
exercise.7z	460.6 KB
playlist.m3u	1.3 KB
~i.txt	1.5 KB
/1. Course Overview/
1. Course Overview.mp4	2.1 MB
1. Course Overview.vtt	1.3 KB
/.../2. Evaluating Model Effectiveness/
1. Overview.mp4	2.2 MB
1. Overview.vtt	1.8 KB
2. Preliminary Terminology.mp4	4.6 MB
2. Preliminary Terminology.vtt	3.8 KB
3. Scoring and Evaluating an Azure ML Pipeline.mp4	6.6 MB
3. Scoring and Evaluating an Azure ML Pipeline.vtt	5.8 KB
4. Demo - Inspecting an Azure ML Pipeline.mp4	19.2 MB
4. Demo - Inspecting an Azure ML Pipeline.vtt	10.4 KB
5. Demo - Scoring and Evaluating the Pipeline Model.mp4	13.1 MB
5. Demo - Scoring and Evaluating the Pipeline Model.vtt	7.6 KB
6. Summary.mp4	1.9 MB
6. Summary.vtt	1.9 KB
/.../3. Improving Model Performance/
1. Overview.mp4	1.1 MB
1. Overview.vtt	1.1 KB
2. Detecting and Preventing Overfitting.mp4	4.1 MB
2. Detecting and Preventing Overfitting.vtt	3.7 KB
3. Azure Automated Machine Learning.mp4	2.4 MB
3. Azure Automated Machine Learning.vtt	2.4 KB
4. Demo - Creating an Automated ML Experiment.mp4	18.7 MB
4. Demo - Creating an Automated ML Experiment.vtt	8.0 KB
5. Demo - Interpreting the Experiment Results.mp4	4.2 MB
5. Demo - Interpreting the Experiment Results.vtt	2.3 KB
6. Summary.mp4	1.8 MB
6. Summary.vtt	2.1 KB
/.../4. Assessing Model Explainability/
1. Overview.mp4	635.1 KB
1. Overview.vtt	0.7 KB
2. Microsofts Guiding Principles for Responsible AI.mp4	3.9 MB
2. Microsofts Guiding Principles for Responsible AI.vtt	3.4 KB
3. Unintended Bias and Interpretability.mp4	4.4 MB
3. Unintended Bias and Interpretability.vtt	3.8 KB
4. Setting Up an Experiment in a Jupyter Notebook.mp4	12.9 MB
4. Setting Up an Experiment in a Jupyter Notebook.vtt	5.9 KB
5. Demo - Touring the Azure Python Interpretability SDK.mp4	15.1 MB
5. Demo - Touring the Azure Python Interpretability SDK.vtt	5.2 KB
6. Summary.mp4	1.9 MB
6. Summary.vtt	1.9 KB
/F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/
exercise.7z	1.9 MB
playlist.m3u	1.1 KB
~i.txt	1.5 KB
/1. Course Overview/
1. Course Overview.mp4	3.1 MB
1. Course Overview.vtt	2.0 KB
/.../2. Deploying a Machine Learning Model/
1. Intro.mp4	1.6 MB
1. Intro.vtt	1.9 KB
2. Azure Machine Learning.mp4	4.2 MB
2. Azure Machine Learning.vtt	4.9 KB
3. Creating Azure Machine Learning.mp4	7.6 MB
3. Creating Azure Machine Learning.vtt	4.2 KB
4. Deploying Models.mp4	3.5 MB
4. Deploying Models.vtt	3.7 KB
5. Creating and Deploying.mp4	38.8 MB
5. Creating and Deploying.vtt	18.6 KB
6. Review.mp4	656.0 KB
6. Review.vtt	0.7 KB
/.../3. Using Continuous Integration and Continuous Deployment/
1. Intro.mp4	785.4 KB
1. Intro.vtt	0.8 KB
2. Tracking Models.mp4	5.1 MB
2. Tracking Models.vtt	6.0 KB
3. Continuous Deployment.mp4	4.1 MB
3. Continuous Deployment.vtt	4.4 KB
4. Creating Pipelines.mp4	51.2 MB
4. Creating Pipelines.vtt	22.5 KB
5. Review.mp4	550.4 KB
5. Review.vtt	0.5 KB
/.../4. Managing a Models Lifecycle/
1. Intro.mp4	717.0 KB
1. Intro.vtt	0.7 KB
2. Performance Analytics.mp4	1.4 MB
2. Performance Analytics.vtt	1.5 KB
3. Long Term Planning.mp4	3.0 MB
3. Long Term Planning.vtt	3.8 KB
4. Application Insights.mp4	8.7 MB
4. Application Insights.vtt	4.4 KB
5. Review.mp4	1.4 MB
5. Review.vtt	1.6 KB
/F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/
exercise.7z	2.0 MB
playlist.m3u	2.2 KB
~i.txt	2.3 KB
/1. Course Overview/
1. Course Overview.mp4	3.9 MB
1. Course Overview.vtt	2.2 KB
/.../2. Setting the Stage/
1. Module Overview.mp4	4.0 MB
1. Module Overview.vtt	4.0 KB
2. Data Science Overview.mp4	8.6 MB
2. Data Science Overview.vtt	5.7 KB
3. Understanding the Modeling Process.mp4	5.9 MB
3. Understanding the Modeling Process.vtt	5.0 KB
4. Model Training.mp4	4.9 MB
4. Model Training.vtt	3.3 KB
5. Model Evaluation.mp4	4.7 MB
5. Model Evaluation.vtt	3.7 KB
6. Microsofts Team Data Science Process.mp4	8.8 MB
6. Microsofts Team Data Science Process.vtt	5.2 KB
7. Data Science Services and Tools in Azure.mp4	3.5 MB
7. Data Science Services and Tools in Azure.vtt	3.1 KB
8. Specialized Roles in Data Science.mp4	3.6 MB
8. Specialized Roles in Data Science.vtt	3.5 KB
9. Summary.mp4	1.5 MB
9. Summary.vtt	1.3 KB
/.../3. Working with Azure Databricks/
1. Module Overview.mp4	1.8 MB
1. Module Overview.vtt	1.6 KB
2. Understanding the Azure Databricks Ecosystem.mp4	7.6 MB
2. Understanding the Azure Databricks Ecosystem.vtt	4.8 KB
3. Understanding Apache Spark and Notebook.mp4	10.0 MB
3. Understanding Apache Spark and Notebook.vtt	6.2 KB
4. Demo - Configuring and Working with Azure Databricks.mp4	29.1 MB
4. Demo - Configuring and Working with Azure Databricks.vtt	14.9 KB
5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.mp4	63.4 MB
5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.vtt	23.4 KB
6. Demo - Performing Exploratory Data Analysis using Azure Databricks.mp4	27.0 MB
6. Demo - Performing Exploratory Data Analysis using Azure Databricks.vtt	10.1 KB
7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.mp4	24.7 MB
7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.vtt	10.1 KB
8. Summary.mp4	951.0 KB
8. Summary.vtt	0.8 KB
/.../4. Model Evaluation and Summarizing Results/
1. Module Overview.mp4	1.4 MB
1. Module Overview.vtt	1.4 KB
2. Model Training Process.mp4	7.5 MB
2. Model Training Process.vtt	6.6 KB
3. Model Training Techniques.mp4	4.5 MB
3. Model Training Techniques.vtt	4.3 KB
4. Demo - Create Model and Perform Predictive Analytics Part 1.mp4	16.5 MB
4. Demo - Create Model and Perform Predictive Analytics Part 1.vtt	7.9 KB
5. Demo - Create Model and Perform Predictive Analytics Part 2.mp4	25.7 MB
5. Demo - Create Model and Perform Predictive Analytics Part 2.vtt	11.2 KB
6. Demo - Create Model and Perform Predictive Analytics Part3.mp4	34.1 MB
6. Demo - Create Model and Perform Predictive Analytics Part3.vtt	14.3 KB
7. Summary.mp4	998.9 KB
7. Summary.vtt	1.0 KB
/.../5. Reviewing Results with Stakeholders/
1. Module Overview.mp4	1.3 MB
1. Module Overview.vtt	1.2 KB
2. Communicating Knowledge and Insights.mp4	3.5 MB
2. Communicating Knowledge and Insights.vtt	2.6 KB
3. Demo - Communicating Insights using Power BI.mp4	24.5 MB
3. Demo - Communicating Insights using Power BI.vtt	10.5 KB
4. Demo - Communicating Insights using MatPlotLib.mp4	29.9 MB
4. Demo - Communicating Insights using MatPlotLib.vtt	12.4 KB
5. Summary.mp4	2.3 MB
5. Summary.vtt	1.8 KB
Total files 1000