Pluralsight Path Data Analytics Literacy 2021 | 41DC775B196A1CDCE3666F5D58E987AE4F942F45

Pluralsight Path Data Analytics Literacy 2021

Name	Pluralsight Path. Data Analytics Literacy (2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	746
Last Seen	2025-07-18 00:23
Hash	41DC775B196A1CDCE3666F5D58E987AE4F942F45

/A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/
exercise.7z	2.0 MB
playlist.m3u	3.8 KB
~i.txt	2.2 KB
/1. Course Overview/
1. Course Overview.mp4	4.1 MB
1. Course Overview.vtt	2.9 KB
/.../2. Understanding Data Cleaning and Preparation Techniques/
1. Version Check.mp4	581.8 KB
1. Version Check.vtt	0.0 KB
2. Module Overview.mp4	1.7 MB
2. Module Overview.vtt	1.7 KB
3. Prerequisites and Course Outline.mp4	2.1 MB
3. Prerequisites and Course Outline.vtt	2.3 KB
4. Finding and Connecting Dots - Data Collection and Analysis.mp4	10.0 MB
4. Finding and Connecting Dots - Data Collection and Analysis.vtt	10.1 KB
5. Dealing with Missing Values - Deletion and Imputation.mp4	7.9 MB
5. Dealing with Missing Values - Deletion and Imputation.vtt	8.4 KB
6. Identifying and Coping with Outliers.mp4	10.1 MB
6. Identifying and Coping with Outliers.vtt	10.2 KB
7. Summary.mp4	1.5 MB
7. Summary.vtt	1.6 KB
/.../3. Preparing Data for Analysis Using Spreadsheets and Python/
1. Module Overview.mp4	1.7 MB
1. Module Overview.vtt	1.7 KB
2. Excel - Working with Duplicates and Missing Values.mp4	31.6 MB
2. Excel - Working with Duplicates and Missing Values.vtt	8.9 KB
3. Excel - Identifying and Eliminating Outliers Using Z-scores.mp4	19.2 MB
3. Excel - Identifying and Eliminating Outliers Using Z-scores.vtt	10.8 KB
4. Excel - Clamping Outliers.mp4	12.0 MB
4. Excel - Clamping Outliers.vtt	5.2 KB
5. Python - Filling Missing Values.mp4	12.1 MB
5. Python - Filling Missing Values.vtt	8.3 KB
6. Python - Working with Missing Values on Real World Data.mp4	16.9 MB
6. Python - Working with Missing Values on Real World Data.vtt	10.1 KB
7. Python - Identifying and Removing Outliers.mp4	13.6 MB
7. Python - Identifying and Removing Outliers.vtt	8.9 KB
8. Python - Training an ML Classifier Using the Cleaned Dataset.mp4	7.6 MB
8. Python - Training an ML Classifier Using the Cleaned Dataset.vtt	4.9 KB
9. Summary.mp4	1.8 MB
9. Summary.vtt	2.0 KB
/.../4. Collecting Data to Extract Insights/
1. Module Overview.mp4	3.0 MB
1. Module Overview.vtt	3.1 KB
2. Standardization.mp4	4.8 MB
2. Standardization.vtt	5.0 KB
3. Normalization.mp4	7.3 MB
3. Normalization.vtt	7.1 KB
4. Binning.mp4	3.7 MB
4. Binning.vtt	4.2 KB
5. Transactional and Analytical Processing.mp4	8.3 MB
5. Transactional and Analytical Processing.vtt	6.8 KB
6. Vertical and Horizontal Scaling.mp4	8.1 MB
6. Vertical and Horizontal Scaling.vtt	8.0 KB
7. Batch and Streaming Data.mp4	6.0 MB
7. Batch and Streaming Data.vtt	5.8 KB
8. Event Time, Ingestion Time, and Processing Time.mp4	4.1 MB
8. Event Time, Ingestion Time, and Processing Time.vtt	3.9 KB
9. Summary.mp4	1.9 MB
9. Summary.vtt	2.1 KB
/.../5. Loading and Processing Data Using Relational Databases/
1. Module Overview.mp4	6.2 MB
1. Module Overview.vtt	5.8 KB
2. Creating an Azure SQL Database.mp4	16.7 MB
2. Creating an Azure SQL Database.vtt	10.0 KB
3. SQL Server Management Studio.mp4	12.3 MB
3. SQL Server Management Studio.vtt	7.0 KB
4. Loading and Querying CSV Data.mp4	13.4 MB
4. Loading and Querying CSV Data.vtt	7.3 KB
5. Uploading Data to Blob Storage and Creating a Data Factory.mp4	14.7 MB
5. Uploading Data to Blob Storage and Creating a Data Factory.vtt	8.8 KB
6. Load Data Using Azure Data Factory.mp4	18.9 MB
6. Load Data Using Azure Data Factory.vtt	10.3 KB
7. Summary.mp4	2.2 MB
7. Summary.vtt	2.1 KB
/.../6. Representing Insights Obtained from Data/
01. Module Overview.mp4	1.6 MB
01. Module Overview.vtt	1.7 KB
02. Continuous and Categorical Data.mp4	5.2 MB
02. Continuous and Categorical Data.vtt	5.2 KB
03. Numeric Representations of Text Data.mp4	7.3 MB
03. Numeric Representations of Text Data.vtt	7.6 KB
04. Representing Image Data as Matrices.mp4	4.2 MB
04. Representing Image Data as Matrices.vtt	4.6 KB
05. Azure Data Products.mp4	4.2 MB
05. Azure Data Products.vtt	3.8 KB
06. Installing and Working with Azure Data Studio.mp4	10.2 MB
06. Installing and Working with Azure Data Studio.vtt	6.8 KB
07. Visualizing Insights Using Azure Data Studio.mp4	16.2 MB
07. Visualizing Insights Using Azure Data Studio.vtt	11.0 KB
08. Installing and Visualizing Data in Power BI.mp4	11.2 MB
08. Installing and Visualizing Data in Power BI.vtt	6.7 KB
09. Creating Different Visualizations in Power BI.mp4	6.9 MB
09. Creating Different Visualizations in Power BI.vtt	4.0 KB
10. Summary and Further Study.mp4	2.0 MB
10. Summary and Further Study.vtt	2.5 KB
/A2. Combining and Shaping Data (Janani Ravi, 2020)/
exercise.7z	22.8 MB
playlist.m3u	5.1 KB
~i.txt	2.2 KB
/1. Course Overview/
1. Course Overview.mp4	4.2 MB
1. Course Overview.vtt	2.7 KB
/.../2. Exploring Techniques to Combine and Shape Data/
1. Version Check.mp4	552.2 KB
1. Version Check.vtt	0.0 KB
2. Module Overview.mp4	1.5 MB
2. Module Overview.vtt	1.6 KB
3. Prerequisites and Course Outline.mp4	2.0 MB
3. Prerequisites and Course Outline.vtt	2.1 KB
4. Connecting the Dots - Combining and Shaping Data.mp4	7.4 MB
4. Connecting the Dots - Combining and Shaping Data.vtt	7.4 KB
5. Wide Form and Long Form Data.mp4	4.8 MB
5. Wide Form and Long Form Data.vtt	4.0 KB
6. Joins.mp4	8.1 MB
6. Joins.vtt	7.5 KB
7. Aggregations.mp4	4.6 MB
7. Aggregations.vtt	3.6 KB
8. Summary.mp4	2.0 MB
8. Summary.vtt	2.3 KB
/.../3. Combining and Shaping Data Using Spreadsheets/
01. Module Overview.mp4	1.9 MB
01. Module Overview.vtt	1.7 KB
02. Load Data and Join Tables.mp4	38.3 MB
02. Load Data and Join Tables.vtt	12.9 KB
03. Aggregation Operations.mp4	5.7 MB
03. Aggregation Operations.vtt	2.7 KB
04. Join Tables Using Power Query.mp4	19.7 MB
04. Join Tables Using Power Query.vtt	8.6 KB
05. Convert CSV Data to Table Format.mp4	23.0 MB
05. Convert CSV Data to Table Format.vtt	3.8 KB
06. Convert Wide Form Data to Long Form.mp4	13.5 MB
06. Convert Wide Form Data to Long Form.vtt	3.5 KB
07. Pivot Tables for Summary Statistics.mp4	18.5 MB
07. Pivot Tables for Summary Statistics.vtt	7.9 KB
08. Unpivot Tables.mp4	11.1 MB
08. Unpivot Tables.vtt	5.6 KB
09. Calculating Cumulative Sum and Ranks on Partitioned Data.mp4	24.6 MB
09. Calculating Cumulative Sum and Ranks on Partitioned Data.vtt	10.0 KB
10. Summary.mp4	2.2 MB
10. Summary.vtt	2.1 KB
/.../4. Combining and Shaping Data Using SQL/
1. Module Overview.mp4	1.9 MB
1. Module Overview.vtt	1.8 KB
2. Introducing the Azure SQL Database.mp4	3.4 MB
2. Introducing the Azure SQL Database.vtt	3.2 KB
3. Loading Data to Azure Blob Storage.mp4	10.7 MB
3. Loading Data to Azure Blob Storage.vtt	5.7 KB
4. Creating an Azure SQL Database and Tables.mp4	10.5 MB
4. Creating an Azure SQL Database and Tables.vtt	5.5 KB
5. Loading Data Using Azure Data Factory Pipelines.mp4	28.5 MB
5. Loading Data Using Azure Data Factory Pipelines.vtt	14.5 KB
6. Querying Data in SQL Using Aggregations.mp4	6.6 MB
6. Querying Data in SQL Using Aggregations.vtt	4.4 KB
7. Performing Join Operations in SQL.mp4	8.2 MB
7. Performing Join Operations in SQL.vtt	5.0 KB
8. Performing Pivot and Unpivot Operations in SQL.mp4	7.2 MB
8. Performing Pivot and Unpivot Operations in SQL.vtt	4.3 KB
9. Summary.mp4	1.9 MB
9. Summary.vtt	2.1 KB
/.../5. Combining and Shaping Data Using Python/
01. Module Overview.mp4	2.0 MB
01. Module Overview.vtt	2.1 KB
02. Data Cleaning - Missing Data and Outliers.mp4	6.1 MB
02. Data Cleaning - Missing Data and Outliers.vtt	7.1 KB
03. Getting Started with Azure Notebooks.mp4	6.1 MB
03. Getting Started with Azure Notebooks.vtt	3.4 KB
04. Combining and Shaping Data Using Pandas.mp4	8.0 MB
04. Combining and Shaping Data Using Pandas.vtt	4.8 KB
05. Identifying and Coping with Outliers.mp4	12.2 MB
05. Identifying and Coping with Outliers.vtt	7.5 KB
06. Detecting Outliers Using Z-scores.mp4	9.4 MB
06. Detecting Outliers Using Z-scores.vtt	6.5 KB
07. Handling Missing Values.mp4	10.7 MB
07. Handling Missing Values.vtt	7.6 KB
08. Cleaning Data.mp4	10.2 MB
08. Cleaning Data.vtt	6.9 KB
09. Working with Imbalanced Data.mp4	7.5 MB
09. Working with Imbalanced Data.vtt	6.4 KB
10. Handling Imbalanced Data with Scikit Learn.mp4	18.3 MB
10. Handling Imbalanced Data with Scikit Learn.vtt	10.4 KB
11. Summary.mp4	2.0 MB
11. Summary.vtt	2.3 KB
/.../6. Integrating Data from Disparate Sources into a Data Warehouse/
01. Module Overview.mp4	1.9 MB
01. Module Overview.vtt	1.8 KB
02. Transactional and Analytical Processing on Azure.mp4	10.7 MB
02. Transactional and Analytical Processing on Azure.vtt	9.1 KB
03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.mp4	17.0 MB
03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.vtt	7.3 KB
04. Loading Data from Blob Store to the Data Warehouse.mp4	12.5 MB
04. Loading Data from Blob Store to the Data Warehouse.vtt	5.7 KB
05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.mp4	19.9 MB
05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.vtt	11.3 KB
06. Enabling Resource Permissions to an Azure Active Directory App.mp4	11.1 MB
06. Enabling Resource Permissions to an Azure Active Directory App.vtt	5.6 KB
07. Python Script to Transform Data Using Pyspark.mp4	9.0 MB
07. Python Script to Transform Data Using Pyspark.vtt	3.6 KB
08. Transform Data Using a Spark Activity.mp4	20.7 MB
08. Transform Data Using a Spark Activity.vtt	11.8 KB
09. Copying Data from a Blob Storage Folder.mp4	9.1 MB
09. Copying Data from a Blob Storage Folder.vtt	4.8 KB
10. Summary.mp4	2.1 MB
10. Summary.vtt	2.1 KB
/.../7. Working with Streaming Data Using a Data Warehouse/
1. Module Overview.mp4	1.7 MB
1. Module Overview.vtt	1.9 KB
2. Batch and Streaming Data.mp4	7.6 MB
2. Batch and Streaming Data.vtt	7.8 KB
3. Types of Windows.mp4	9.3 MB
3. Types of Windows.vtt	9.3 KB
4. Watermarks and the Notion of Time.mp4	7.0 MB
4. Watermarks and the Notion of Time.vtt	6.7 KB
5. Creating a Stream Analytics Job and a Power BI Pro Account.mp4	12.0 MB
5. Creating a Stream Analytics Job and a Power BI Pro Account.vtt	5.8 KB
6. Configuring Input and Output for the Stream Analytics Job.mp4	11.8 MB
6. Configuring Input and Output for the Stream Analytics Job.vtt	6.9 KB
7. Visualizing Streaming Data Using Power BI.mp4	11.4 MB
7. Visualizing Streaming Data Using Power BI.vtt	7.2 KB
8. Summary and Further Study.mp4	2.2 MB
8. Summary and Further Study.vtt	2.4 KB
/B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/
exercise.7z	4.2 MB
playlist.m3u	4.9 KB
~i.txt	2.3 KB
/1. Course Overview/
1. Course Overview.mp4	3.8 MB
1. Course Overview.vtt	3.0 KB
/.../2. Understanding Descriptive Statistics for Data Analysis/
1. Version Check.mp4	587.2 KB
1. Version Check.vtt	0.0 KB
2. Module Overview.mp4	1.9 MB
2. Module Overview.vtt	1.8 KB
3. Prerequisites and Course Outline.mp4	2.0 MB
3. Prerequisites and Course Outline.vtt	2.5 KB
4. Understanding Descriptive Statistics.mp4	9.5 MB
4. Understanding Descriptive Statistics.vtt	10.7 KB
5. Measures of Central Tendency and Dispersion.mp4	7.0 MB
5. Measures of Central Tendency and Dispersion.vtt	7.5 KB
6. Understanding Variance.mp4	4.1 MB
6. Understanding Variance.vtt	3.9 KB
7. Measuring Relationships Using Covariance.mp4	5.0 MB
7. Measuring Relationships Using Covariance.vtt	5.1 KB
8. Covariance Matrices and Correlation Matrices.mp4	7.4 MB
8. Covariance Matrices and Correlation Matrices.vtt	7.1 KB
/.../3. Performing Exploratory Data Analysis in Spreadsheets/
01. Module Overview.mp4	1.8 MB
01. Module Overview.vtt	1.7 KB
02. Working with Excel Workbooks.mp4	7.6 MB
02. Working with Excel Workbooks.vtt	3.9 KB
03. Descriptive Statistics for Univariate Data.mp4	20.1 MB
03. Descriptive Statistics for Univariate Data.vtt	10.0 KB
04. Visualizing Univariate Statistics.mp4	9.1 MB
04. Visualizing Univariate Statistics.vtt	4.6 KB
05. Using Pivot Tables for Summary Statistics.mp4	11.6 MB
05. Using Pivot Tables for Summary Statistics.vtt	5.9 KB
06. Performing Analysis Using Bucketing and Pivot Charts.mp4	19.4 MB
06. Performing Analysis Using Bucketing and Pivot Charts.vtt	9.2 KB
07. Visualizing Bivariate Relationships.mp4	7.7 MB
07. Visualizing Bivariate Relationships.vtt	4.5 KB
08. Performing Regression Analysis on Bivariate Data.mp4	14.1 MB
08. Performing Regression Analysis on Bivariate Data.vtt	6.3 KB
09. Covariance and Correlation Matrices for Multivariate Data.mp4	13.4 MB
09. Covariance and Correlation Matrices for Multivariate Data.vtt	6.4 KB
10. Visualizing Multivariate Data Using Pivot Charts.mp4	9.7 MB
10. Visualizing Multivariate Data Using Pivot Charts.vtt	5.5 KB
11. Regression Analysis with Multivariate Data.mp4	10.7 MB
11. Regression Analysis with Multivariate Data.vtt	4.4 KB
12. Module Summary.mp4	2.2 MB
12. Module Summary.vtt	2.1 KB
/.../4. Summarizing Data and Deducing Probabilities Using Python/
1. Module Overview.mp4	5.0 MB
1. Module Overview.vtt	4.9 KB
2. Getting Started with Azure Notebooks.mp4	5.8 MB
2. Getting Started with Azure Notebooks.vtt	3.7 KB
3. Calculating Descriptive Statistics Using Python.mp4	12.3 MB
3. Calculating Descriptive Statistics Using Python.vtt	8.5 KB
4. Calculating Descriptive Statistics Using Python Libraries.mp4	14.4 MB
4. Calculating Descriptive Statistics Using Python Libraries.vtt	9.8 KB
5. Calculating Skewness Kurtosis and Simple Visualizations.mp4	7.9 MB
5. Calculating Skewness Kurtosis and Simple Visualizations.vtt	4.7 KB
6. Bivariate Analysis.mp4	8.2 MB
6. Bivariate Analysis.vtt	5.8 KB
7. Simple Regression on Bivariate Data Using Scipy.mp4	6.0 MB
7. Simple Regression on Bivariate Data Using Scipy.vtt	4.5 KB
8. Regression on Multivariate Data Using Statsmodels and scikit-lea.mp4	12.9 MB
8. Regression on Multivariate Data Using Statsmodels and scikit-lea.vtt	8.2 KB
9. Module Summary.mp4	1.6 MB
9. Module Summary.vtt	1.8 KB
/.../5. Understanding and Applying Bayes Rule/
1. Module Overview.mp4	1.5 MB
1. Module Overview.vtt	1.8 KB
2. Intuition behind Bayes Theorem.mp4	6.6 MB
2. Intuition behind Bayes Theorem.vtt	7.1 KB
3. A Priori and Conditional Probabilities to Classify Data.mp4	7.2 MB
3. A Priori and Conditional Probabilities to Classify Data.vtt	7.5 KB
4. Applying Bayes Theorem to Make Predictions.mp4	11.0 MB
4. Applying Bayes Theorem to Make Predictions.vtt	10.5 KB
5. Calculating a Priori Probabilities of Survival on the Titanic.mp4	18.0 MB
5. Calculating a Priori Probabilities of Survival on the Titanic.vtt	11.2 KB
6. Applying Bayes Rule Using the Naive Bayes Classifier.mp4	6.9 MB
6. Applying Bayes Rule Using the Naive Bayes Classifier.vtt	4.6 KB
7. Module Summary.mp4	1.6 MB
7. Module Summary.vtt	1.8 KB
/.../6. Visualizing Probabilistic and Statistical Data Using Seaborn/
01. Module Overview.mp4	1.6 MB
01. Module Overview.vtt	1.5 KB
02. Understanding Kernel Density Estimation.mp4	5.7 MB
02. Understanding Kernel Density Estimation.vtt	5.9 KB
03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.mp4	11.6 MB
03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.vtt	7.3 KB
04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.mp4	12.4 MB
04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.vtt	8.7 KB
05. Regression Analysis on Bivariate Data.mp4	11.0 MB
05. Regression Analysis on Bivariate Data.vtt	7.7 KB
06. Representing Pairwise Relationships Using the Pairplot and.mp4	11.1 MB
06. Representing Pairwise Relationships Using the Pairplot and.vtt	7.6 KB
07. Visualizing Categorical Data Using Strip Plots and Swarm P.mp4	7.2 MB
07. Visualizing Categorical Data Using Strip Plots and Swarm P.vtt	5.2 KB
08. Visualizing Data Using Box Plots and Violin Plots.mp4	9.5 MB
08. Visualizing Data Using Box Plots and Violin Plots.vtt	6.6 KB
09. Visualizing Categorical Data Using Bar Plots, Point Plots,.mp4	9.1 MB
09. Visualizing Categorical Data Using Bar Plots, Point Plots,.vtt	6.4 KB
10. Summary and Further Study.mp4	2.3 MB
10. Summary and Further Study.vtt	2.5 KB
/B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/
exercise.7z	3.4 MB
playlist.m3u	3.6 KB
~i.txt	2.5 KB
/1. Course Overview/
1. Course Overview.mp4	3.9 MB
1. Course Overview.vtt	2.9 KB
/.../2. Designing an Experiment for Data Analysis/
1. Module Overview.mp4	2.1 MB
1. Module Overview.vtt	1.8 KB
2. Prerequisites and Course Outline.mp4	1.8 MB
2. Prerequisites and Course Outline.vtt	2.1 KB
3. Connecting the Dots with Data.mp4	4.6 MB
3. Connecting the Dots with Data.vtt	4.6 KB
4. Hypothesis Testing.mp4	12.5 MB
4. Hypothesis Testing.vtt	11.2 KB
5. T-tests.mp4	5.4 MB
5. T-tests.vtt	4.8 KB
6. ANOVA.mp4	8.0 MB
6. ANOVA.vtt	7.0 KB
7. Designing a Machine Learning Experiment.mp4	8.9 MB
7. Designing a Machine Learning Experiment.vtt	8.0 KB
8. Summary.mp4	2.7 MB
8. Summary.vtt	2.5 KB
/.../3. Building and Training a Machine Learning Model/
1. Module Overview.mp4	2.5 MB
1. Module Overview.vtt	2.4 KB
2. Getting Started with Azure ML Studio.mp4	14.2 MB
2. Getting Started with Azure ML Studio.vtt	8.4 KB
3. Loading and Visualizing Data.mp4	13.1 MB
3. Loading and Visualizing Data.vtt	8.3 KB
4. Exploring Relationships in Data.mp4	12.6 MB
4. Exploring Relationships in Data.vtt	7.3 KB
5. Preprocessing and Preparing Data.mp4	16.9 MB
5. Preprocessing and Preparing Data.vtt	9.2 KB
6. Building and Training a Regression Model for Price Prediction.mp4	20.8 MB
6. Building and Training a Regression Model for Price Prediction.vtt	12.1 KB
7. Building and Training a Regression Model in Python.mp4	24.4 MB
7. Building and Training a Regression Model in Python.vtt	13.3 KB
8. Summary.mp4	2.1 MB
8. Summary.vtt	2.0 KB
/.../4. Understanding and Overcoming Common Problems in Data Modeling/
1. Module Overview.mp4	1.8 MB
1. Module Overview.vtt	1.8 KB
2. Overfitting and Techniques to Mitigate Overfitting.mp4	11.1 MB
2. Overfitting and Techniques to Mitigate Overfitting.vtt	10.3 KB
3. Accuracy, Precision, and Recall.mp4	8.2 MB
3. Accuracy, Precision, and Recall.vtt	7.1 KB
4. The ROC Curve.mp4	6.5 MB
4. The ROC Curve.vtt	6.0 KB
5. Preparing and Processing Data.mp4	19.7 MB
5. Preparing and Processing Data.vtt	11.0 KB
6. Building Training and Evaluating a Classification Model.mp4	21.1 MB
6. Building Training and Evaluating a Classification Model.vtt	11.8 KB
7. Summary.mp4	2.2 MB
7. Summary.vtt	2.4 KB
/.../5. Leveraging Different Validation Strategies in Data Modeling/
01. Module Overview.mp4	2.1 MB
01. Module Overview.vtt	2.0 KB
02. Cross-validation in the ML Workflow.mp4	3.6 MB
02. Cross-validation in the ML Workflow.vtt	2.8 KB
03. Singular Cross-validation.mp4	5.4 MB
03. Singular Cross-validation.vtt	5.3 KB
04. Cross-validation Using Azure ML Studio.mp4	16.3 MB
04. Cross-validation Using Azure ML Studio.vtt	8.4 KB
05. K-fold Cross-validation and Variants.mp4	10.4 MB
05. K-fold Cross-validation and Variants.vtt	8.9 KB
06. K-fold Cross-validation in scikit-learn.mp4	16.3 MB
06. K-fold Cross-validation in scikit-learn.vtt	10.1 KB
07. Repeated K-fold Cross-validation in scikit-learn.mp4	9.9 MB
07. Repeated K-fold Cross-validation in scikit-learn.vtt	5.9 KB
08. Stratified K-fold Cross-validation in scikit-learn.mp4	13.2 MB
08. Stratified K-fold Cross-validation in scikit-learn.vtt	7.5 KB
09. Group K-fold in scikit-learn.mp4	9.2 MB
09. Group K-fold in scikit-learn.vtt	5.6 KB
10. Summary.mp4	2.1 MB
10. Summary.vtt	2.1 KB
/.../6. Tuning Hyperparameters Using Cross Validation Scores/
1. Module Overview.mp4	3.6 MB
1. Module Overview.vtt	3.4 KB
2. Hyperparameter Tuning.mp4	3.3 MB
2. Hyperparameter Tuning.vtt	3.2 KB
3. Decision Trees.mp4	4.8 MB
3. Decision Trees.vtt	4.6 KB
4. Hyperparameter Tuning a Decision Forest Classifier.mp4	17.8 MB
4. Hyperparameter Tuning a Decision Forest Classifier.vtt	9.8 KB
5. Tuning and Scoring Multiple Models.mp4	13.2 MB
5. Tuning and Scoring Multiple Models.vtt	7.4 KB
6. Summary and Further Study.mp4	1.8 MB
6. Summary and Further Study.vtt	1.9 KB
/C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/
exercise.7z	5.2 MB
playlist.m3u	3.8 KB
~i.txt	1.8 KB
/1. Course Overview/
1. Course Overview.mp4	3.0 MB
1. Course Overview.vtt	2.2 KB
/.../2. Thinking Like a Statistician/
1. What Is Statistics.mp4	9.0 MB
1. What Is Statistics.vtt	7.7 KB
2. What Are Estimators.mp4	5.9 MB
2. What Are Estimators.vtt	4.8 KB
3. Demo - Installing Jamovi.mp4	10.9 MB
3. Demo - Installing Jamovi.vtt	6.1 KB
4. Basic Probability and Random Variables.mp4	5.8 MB
4. Basic Probability and Random Variables.vtt	5.7 KB
5. Continuous and Discrete Distribution Functions.mp4	8.9 MB
5. Continuous and Discrete Distribution Functions.vtt	7.2 KB
6. Does the Distribution Change in a Sample.mp4	11.2 MB
6. Does the Distribution Change in a Sample.vtt	9.9 KB
7. Demo - Making Our First Statistical Test.mp4	15.9 MB
7. Demo - Making Our First Statistical Test.vtt	8.6 KB
8. Summary.mp4	2.3 MB
8. Summary.vtt	2.1 KB
/3. Testing a Hypothesis/
1. Introducing Case Study.mp4	1.7 MB
1. Introducing Case Study.vtt	1.7 KB
2. T Distribution - When the Variance Is Unknown.mp4	4.5 MB
2. T Distribution - When the Variance Is Unknown.vtt	3.7 KB
3. Statistical Hypothesis - What Am I Missing.mp4	6.2 MB
3. Statistical Hypothesis - What Am I Missing.vtt	5.4 KB
4. T Test - Estimate the Chance of Equal!.mp4	8.5 MB
4. T Test - Estimate the Chance of Equal!.vtt	7.2 KB
5. Demo - Comparing Means.mp4	11.7 MB
5. Demo - Comparing Means.vtt	4.9 KB
6. What if I Am Mistaken.mp4	3.9 MB
6. What if I Am Mistaken.vtt	3.6 KB
7. Confidence Interval - The Other Face of the Coin.mp4	7.5 MB
7. Confidence Interval - The Other Face of the Coin.vtt	6.2 KB
8. Summary.mp4	3.2 MB
8. Summary.vtt	3.3 KB
/.../4. Comparing Categorical Values with Frequency Analysis/
1. Introducing Demo - Salary Fairness.mp4	2.3 MB
1. Introducing Demo - Salary Fairness.vtt	2.2 KB
2. Goodness of Fit - Let’s Test if This Follows The Pattern!.mp4	8.6 MB
2. Goodness of Fit - Let’s Test if This Follows The Pattern!.vtt	6.4 KB
3. Demo - Salary Fairness.mp4	10.1 MB
3. Demo - Salary Fairness.vtt	6.0 KB
4. Normality Tests.mp4	4.0 MB
4. Normality Tests.vtt	3.8 KB
5. Summary.mp4	1.3 MB
5. Summary.vtt	1.4 KB
/.../5. Analyzing Experiments with ANOVA/
1. Introducing ANOVA.mp4	813.9 KB
1. Introducing ANOVA.vtt	0.7 KB
2. Introducing Demo - Selecting the Best Coffee.mp4	1.4 MB
2. Introducing Demo - Selecting the Best Coffee.vtt	1.5 KB
3. Null Hypothesis of ANOVA.mp4	5.2 MB
3. Null Hypothesis of ANOVA.vtt	4.5 KB
4. The Output of ANOVA.mp4	5.1 MB
4. The Output of ANOVA.vtt	4.5 KB
5. Demo - Selecting the Best Coffee.mp4	10.4 MB
5. Demo - Selecting the Best Coffee.vtt	5.2 KB
6. Assumptions of the Model - Hetero-what!.mp4	4.2 MB
6. Assumptions of the Model - Hetero-what!.vtt	3.6 KB
7. Checking Homoscedasticity - Levene and ANOVA Inception.mp4	6.0 MB
7. Checking Homoscedasticity - Levene and ANOVA Inception.vtt	4.2 KB
8. Demo - Revisiting Selecting the Best Coffee Video.mp4	16.7 MB
8. Demo - Revisiting Selecting the Best Coffee Video.vtt	9.1 KB
9. Summary.mp4	1.1 MB
9. Summary.vtt	1.2 KB
/.../6. Comparing Groups and Effects with ANOVA/
1. Introducing Demo - Mixing All Together.mp4	1.6 MB
1. Introducing Demo - Mixing All Together.vtt	1.2 KB
2. Why Don’t You Use Multiple T Tests.mp4	4.0 MB
2. Why Don’t You Use Multiple T Tests.vtt	3.2 KB
3. Tukey Comparisons - I Want It All.mp4	4.0 MB
3. Tukey Comparisons - I Want It All.vtt	3.2 KB
4. Planned Contrasts - When You Need More Potency.mp4	2.8 MB
4. Planned Contrasts - When You Need More Potency.vtt	2.8 KB
5. Demo - Mixing all Together.mp4	12.5 MB
5. Demo - Mixing all Together.vtt	8.3 KB
6. Summary.mp4	2.8 MB
6. Summary.vtt	3.0 KB
/.../7. Predicting Linear Relationships with Regression/
1. Introducing Demo - The Houses Price.mp4	1.6 MB
1. Introducing Demo - The Houses Price.vtt	1.8 KB
2. The Power of Regression.mp4	4.3 MB
2. The Power of Regression.vtt	4.5 KB
3. Minimum Squares Estimation - Find the Linear Part.mp4	6.3 MB
3. Minimum Squares Estimation - Find the Linear Part.vtt	5.5 KB
4. Prediction and Extrapolation.mp4	3.0 MB
4. Prediction and Extrapolation.vtt	2.3 KB
5. The Assumptions of Regression.mp4	5.8 MB
5. The Assumptions of Regression.vtt	4.0 KB
6. Demo - The Houses Price.mp4	12.9 MB
6. Demo - The Houses Price.vtt	8.7 KB
/.../8. Predicting Non-linear Relationships with Regression/
1. Introducing Demo - The Housing Problem.mp4	940.6 KB
1. Introducing Demo - The Housing Problem.vtt	0.9 KB
2. When the World Is Not Linear, You Just Linearize!.mp4	7.3 MB
2. When the World Is Not Linear, You Just Linearize!.vtt	7.2 KB
3. Demo - The Housing Problem - Part 1.mp4	11.6 MB
3. Demo - The Housing Problem - Part 1.vtt	6.2 KB
4. Demo - The Housing Problem - Part 2.mp4	7.4 MB
4. Demo - The Housing Problem - Part 2.vtt	3.1 KB
5. Course Wrap Up.mp4	2.5 MB
5. Course Wrap Up.vtt	2.3 KB
/C2. Communicating Data Insights (Janani Ravi, 2020)/
exercise.7z	4.1 MB
playlist.m3u	3.7 KB
~i.txt	2.1 KB
/1. Course Overview/
1. Course Overview.mp4	3.6 MB
1. Course Overview.vtt	2.8 KB
/.../2. Communicating Insights from Statistical Data/
01. Version Check.mp4	558.7 KB
01. Version Check.vtt	0.0 KB
02. Module Overview.mp4	1.9 MB
02. Module Overview.vtt	1.8 KB
03. Prerequisites and Course Outline.mp4	2.0 MB
03. Prerequisites and Course Outline.vtt	2.2 KB
04. Visualizations and Use Cases.mp4	7.1 MB
04. Visualizations and Use Cases.vtt	7.1 KB
05. Getting Started with Azure Notebooks.mp4	5.9 MB
05. Getting Started with Azure Notebooks.vtt	3.2 KB
06. Visualizing Statistical Data.mp4	13.8 MB
06. Visualizing Statistical Data.vtt	7.8 KB
07. Box Plots and Violin Plots.mp4	14.4 MB
07. Box Plots and Violin Plots.vtt	9.4 KB
08. Histograms.mp4	7.4 MB
08. Histograms.vtt	4.7 KB
09. Pie Charts.mp4	10.1 MB
09. Pie Charts.vtt	6.2 KB
10. Visualizing Autocorrelation.mp4	6.5 MB
10. Visualizing Autocorrelation.vtt	4.8 KB
11. Stacked Plots and Stem Plots.mp4	10.2 MB
11. Stacked Plots and Stem Plots.vtt	6.6 KB
12. Summary.mp4	1.9 MB
12. Summary.vtt	2.0 KB
/.../3. Communicating Insights from Business Data/
01. Module Overview.mp4	1.9 MB
01. Module Overview.vtt	2.2 KB
02. Loading XML Data.mp4	9.5 MB
02. Loading XML Data.vtt	4.8 KB
03. Bubble Charts.mp4	14.2 MB
03. Bubble Charts.vtt	8.8 KB
04. Bubble Maps for Geographical Data.mp4	9.0 MB
04. Bubble Maps for Geographical Data.vtt	5.6 KB
05. Heatmaps.mp4	7.1 MB
05. Heatmaps.vtt	4.4 KB
06. Interactive Time Series Charts.mp4	8.2 MB
06. Interactive Time Series Charts.vtt	4.8 KB
07. Candlestick Charts for Stock Price Movements.mp4	6.5 MB
07. Candlestick Charts for Stock Price Movements.vtt	4.8 KB
08. Funnel Charts and SVG Paths.mp4	4.2 MB
08. Funnel Charts and SVG Paths.vtt	4.4 KB
09. Drawing Funnel Charts.mp4	15.1 MB
09. Drawing Funnel Charts.vtt	9.3 KB
10. Sankey Diagrams.mp4	7.3 MB
10. Sankey Diagrams.vtt	4.9 KB
11. Summary.mp4	1.8 MB
11. Summary.vtt	2.0 KB
/.../4. Visualizing Distributions and Relationships in Data/
1. Module Overview.mp4	1.8 MB
1. Module Overview.vtt	1.7 KB
2. Visualizing Univariate Distributions.mp4	10.6 MB
2. Visualizing Univariate Distributions.vtt	6.2 KB
3. Visualizing Bivariate Relationships.mp4	8.3 MB
3. Visualizing Bivariate Relationships.vtt	5.1 KB
4. Pairwise Relationships.mp4	8.4 MB
4. Pairwise Relationships.vtt	5.0 KB
5. Regression Plots.mp4	7.1 MB
5. Regression Plots.vtt	4.5 KB
6. Strip Plots and Swarm Plots.mp4	5.0 MB
6. Strip Plots and Swarm Plots.vtt	3.3 KB
7. Box Plots, Violin Plots, and Factor Plots.mp4	10.0 MB
7. Box Plots, Violin Plots, and Factor Plots.vtt	5.4 KB
8. Module Summary.mp4	2.5 MB
8. Module Summary.vtt	2.3 KB
/.../5. Integrating Data in a Multi-cloud Environment/
1. Module Overview.mp4	2.2 MB
1. Module Overview.vtt	2.0 KB
2. Data Silos and Possible Solutions to Silos.mp4	11.9 MB
2. Data Silos and Possible Solutions to Silos.vtt	10.0 KB
3. Setting up an Azure SQL Data Warehouse.mp4	6.1 MB
3. Setting up an Azure SQL Data Warehouse.vtt	3.9 KB
4. Uploading a File to Azure Blob Storage.mp4	11.5 MB
4. Uploading a File to Azure Blob Storage.vtt	5.7 KB
5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.mp4	17.9 MB
5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.vtt	10.5 KB
6. Loading Data from S3 Buckets to the SQL Data Warehouse.mp4	20.3 MB
6. Loading Data from S3 Buckets to the SQL Data Warehouse.vtt	10.2 KB
7. Summary.mp4	2.3 MB
7. Summary.vtt	2.2 KB
/.../6. Integrating Data in a Hybrid Environment/
1. Module Overview.mp4	1.6 MB
1. Module Overview.vtt	1.7 KB
2. Loading Data to an On-premises SQL Server.mp4	10.9 MB
2. Loading Data to an On-premises SQL Server.vtt	6.4 KB
3. Configuring a Self-hosted Integration Runtime.mp4	16.3 MB
3. Configuring a Self-hosted Integration Runtime.vtt	9.9 KB
4. Copying Data from On-premises SQL Server to SQL Data Warehouse.mp4	8.8 MB
4. Copying Data from On-premises SQL Server to SQL Data Warehouse.vtt	4.3 KB
5. Visualizing Data Using Power BI.mp4	16.3 MB
5. Visualizing Data Using Power BI.vtt	8.2 KB
6. Summary and Further Study.mp4	1.9 MB
6. Summary and Further Study.vtt	2.1 KB
/D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/
exercise.7z	86.7 MB
playlist.m3u	4.2 KB
~i.txt	1.7 KB
/1. Course Overview/
1. Course Overview.mp4	3.2 MB
1. Course Overview.vtt	2.5 KB
/.../2. Getting Started with Machine Learning/
1. Getting Started with Machine Learning.mp4	4.5 MB
1. Getting Started with Machine Learning.vtt	4.2 KB
2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.mp4	8.0 MB
2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.vtt	7.0 KB
3. Supervised Learning - When We Learn from History.mp4	9.2 MB
3. Supervised Learning - When We Learn from History.vtt	9.2 KB
4. Demo.mp4	14.0 MB
4. Demo.vtt	4.6 KB
5. Summary.mp4	1.0 MB
5. Summary.vtt	1.1 KB
/.../3. Finding Those Models/
1. How to Learn in Machine Learning Cost Functions!.mp4	5.2 MB
1. How to Learn in Machine Learning Cost Functions!.vtt	6.1 KB
2. Finding the Minima - GD and SGD.mp4	8.1 MB
2. Finding the Minima - GD and SGD.vtt	7.7 KB
3. Making Things Faster - Feature Scaling and Learning Rates.mp4	9.7 MB
3. Making Things Faster - Feature Scaling and Learning Rates.vtt	7.7 KB
4. How It All Fits - Going Back to the Model!.mp4	4.0 MB
4. How It All Fits - Going Back to the Model!.vtt	4.1 KB
5. Demo - Implementing GD and SGD.mp4	14.0 MB
5. Demo - Implementing GD and SGD.vtt	8.4 KB
6. Summary.mp4	620.4 KB
6. Summary.vtt	0.9 KB
/.../4. Predicting Linear Relationships with Regression/
1. Back to the Basics - Linear Regression Again.mp4	6.1 MB
1. Back to the Basics - Linear Regression Again.vtt	5.2 KB
2. Hyperparameter Optimization - TrainDevTest Sets.mp4	8.9 MB
2. Hyperparameter Optimization - TrainDevTest Sets.vtt	7.7 KB
3. Demo - Perform Simple Linear Regression.mp4	7.6 MB
3. Demo - Perform Simple Linear Regression.vtt	3.9 KB
4. What if I Want More Variables Multiple Regression to the Rescue!.mp4	3.8 MB
4. What if I Want More Variables Multiple Regression to the Rescue!.vtt	3.0 KB
5. Demo - Perform Multiple Linear Regression.mp4	6.1 MB
5. Demo - Perform Multiple Linear Regression.vtt	3.2 KB
6. What No One Talks About - Assumptions.mp4	5.6 MB
6. What No One Talks About - Assumptions.vtt	5.3 KB
7. Demo - Evaluate a Regression Model.mp4	14.6 MB
7. Demo - Evaluate a Regression Model.vtt	7.2 KB
8. Summary.mp4	1.0 MB
8. Summary.vtt	1.0 KB
/.../5. Understanding Regression Models in Depth/
1. Non-linear Regression - Polynomial Features.mp4	4.9 MB
1. Non-linear Regression - Polynomial Features.vtt	4.4 KB
2. Overfitting - A Great Responsibility Conveys a Great Regularization.mp4	8.8 MB
2. Overfitting - A Great Responsibility Conveys a Great Regularization.vtt	7.0 KB
3. Demo - Linear Regression with Regularization.mp4	10.7 MB
3. Demo - Linear Regression with Regularization.vtt	6.8 KB
4. Demo - Perform Polynomial Regression.mp4	10.5 MB
4. Demo - Perform Polynomial Regression.vtt	6.2 KB
5. Outliers Strike Again - Spline Regression as Local Regressor.mp4	3.6 MB
5. Outliers Strike Again - Spline Regression as Local Regressor.vtt	3.2 KB
6. Demo - Perform a Spline Regression.mp4	8.0 MB
6. Demo - Perform a Spline Regression.vtt	4.5 KB
7. Model Selection - Let the Simplest Model Win.mp4	12.8 MB
7. Model Selection - Let the Simplest Model Win.vtt	10.0 KB
8. Demo - Comparing Models.mp4	11.8 MB
8. Demo - Comparing Models.vtt	5.0 KB
9. Summary.mp4	1.2 MB
9. Summary.vtt	1.1 KB
/.../6. The Problem of Correct Classification/
1. What Does the Boundary Look Like.mp4	6.2 MB
1. What Does the Boundary Look Like.vtt	5.8 KB
2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.mp4	8.8 MB
2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.vtt	7.4 KB
3. Demo - Classify with Logistic Regression.mp4	26.3 MB
3. Demo - Classify with Logistic Regression.vtt	14.6 KB
4. Classify Multiple Categories - One vs. All Classification.mp4	5.7 MB
4. Classify Multiple Categories - One vs. All Classification.vtt	4.6 KB
5. Demo - Multiclass Classification with Multinomial Logistic Regression.mp4	7.3 MB
5. Demo - Multiclass Classification with Multinomial Logistic Regression.vtt	4.0 KB
6. Summary.mp4	676.4 KB
6. Summary.vtt	0.8 KB
/.../7. Large Margin and Bayesian Classification/
1. Maximizing the Actual Information - Bayesian Attack!.mp4	5.5 MB
1. Maximizing the Actual Information - Bayesian Attack!.vtt	5.2 KB
2. Demo - Multilabel Intent Classification with Naive Bayes.mp4	9.9 MB
2. Demo - Multilabel Intent Classification with Naive Bayes.vtt	6.0 KB
3. Large Margin Classification - Outliers!.mp4	5.1 MB
3. Large Margin Classification - Outliers!.vtt	5.3 KB
4. Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.mp4	6.8 MB
4. Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.vtt	5.7 KB
5. Demo - Classify Iris with SVM.mp4	5.9 MB
5. Demo - Classify Iris with SVM.vtt	3.7 KB
6. Summary.mp4	1.3 MB
6. Summary.vtt	1.6 KB
/.../8. The Subtle Art of Not Needing Labels - Unsupervised Learning/
1. Distance and Covariance Matrices.mp4	9.4 MB
1. Distance and Covariance Matrices.vtt	7.5 KB
2. Clustering - Hierarchical and Non-hierarchical.mp4	11.4 MB
2. Clustering - Hierarchical and Non-hierarchical.vtt	9.8 KB
3. Compression - PCA and CA.mp4	7.9 MB
3. Compression - PCA and CA.vtt	7.3 KB
4. Demo - Perform PCA.mp4	4.8 MB
4. Demo - Perform PCA.vtt	3.1 KB
5. Demo - Breast Cancer at a Glance.mp4	20.2 MB
5. Demo - Breast Cancer at a Glance.vtt	9.7 KB
6. Summary.mp4	2.0 MB
6. Summary.vtt	2.5 KB
/D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/
exercise.7z	34.6 MB
playlist.m3u	2.5 KB
~i.txt	1.9 KB
/1. Course Overview/
1. Course Overview.mp4	2.5 MB
1. Course Overview.vtt	1.7 KB
/2. Creating a Hypothesis/
1. Overview.mp4	2.4 MB
1. Overview.vtt	2.4 KB
2. Factors of a Well Defined Hypothesis.mp4	3.6 MB
2. Factors of a Well Defined Hypothesis.vtt	3.5 KB
3. Alternative Hypothesis and Null Hypothesis.mp4	6.0 MB
3. Alternative Hypothesis and Null Hypothesis.vtt	5.4 KB
4. Key Performance Indicators Required.mp4	2.3 MB
4. Key Performance Indicators Required.vtt	2.2 KB
5. Hypothesis Acceptance Criteria.mp4	2.4 MB
5. Hypothesis Acceptance Criteria.vtt	2.4 KB
6. Summary.mp4	1.3 MB
6. Summary.vtt	1.1 KB
/.../3. Sourcing and Transforming Data Relevant to a Hypothesis/
1. Overview.mp4	1.2 MB
1. Overview.vtt	1.2 KB
2. Azure Machine Learning Services Overview.mp4	9.1 MB
2. Azure Machine Learning Services Overview.vtt	5.0 KB
3. Identifying and Sourcing the Relevant Data.mp4	7.9 MB
3. Identifying and Sourcing the Relevant Data.vtt	3.8 KB
4. Training and Testing Data Subsets.mp4	5.0 MB
4. Training and Testing Data Subsets.vtt	5.1 KB
5. Data Transformation Using Azure Machine Lear.mp4	15.9 MB
5. Data Transformation Using Azure Machine Lear.vtt	9.0 KB
6. Summary.mp4	1.2 MB
6. Summary.vtt	1.1 KB
/.../4. Identifying Features from Raw Data/
1. Overview.mp4	1.5 MB
1. Overview.vtt	1.5 KB
2. Selecting Data Granularity.mp4	28.3 MB
2. Selecting Data Granularity.vtt	11.1 KB
3. Dependent and Independent Variables.mp4	3.2 MB
3. Dependent and Independent Variables.vtt	3.1 KB
4. Choosing the Right Encoding Method.mp4	5.6 MB
4. Choosing the Right Encoding Method.vtt	4.1 KB
5. Feature Scaling.mp4	3.9 MB
5. Feature Scaling.vtt	3.4 KB
6. Common Feature Selection Techniques.mp4	2.5 MB
6. Common Feature Selection Techniques.vtt	2.5 KB
7. Summary.mp4	1.2 MB
7. Summary.vtt	1.1 KB
/.../5. Building the Model/
1. Overview.mp4	1.2 MB
1. Overview.vtt	1.1 KB
2. Selecting the Appropriate Model.mp4	6.8 MB
2. Selecting the Appropriate Model.vtt	6.5 KB
3. Azure ML - Classification Model Options.mp4	4.2 MB
3. Azure ML - Classification Model Options.vtt	2.2 KB
4. Building and Registering the Model.mp4	17.2 MB
4. Building and Registering the Model.vtt	8.2 KB
5. Metrics for Model Classification Optional.mp4	2.1 MB
5. Metrics for Model Classification Optional.vtt	2.3 KB
6. Tuning Hyperparameters and Interpreting the Model.mp4	17.8 MB
6. Tuning Hyperparameters and Interpreting the Model.vtt	8.4 KB
7. Deploying the Model.mp4	19.8 MB
7. Deploying the Model.vtt	11.6 KB
8. Summary.mp4	946.5 KB
8. Summary.vtt	0.8 KB
/.../6. Monitoring and Managing the Performance of a Model/
1. Overview.mp4	748.6 KB
1. Overview.vtt	0.8 KB
2. Model Performance Strategy.mp4	10.3 MB
2. Model Performance Strategy.vtt	9.9 KB
3. Retraining Model with Automated Machine Learning.mp4	15.4 MB
3. Retraining Model with Automated Machine Learning.vtt	8.0 KB
4. Monitoring the Model.mp4	5.0 MB
4. Monitoring the Model.vtt	2.5 KB
5. Monitoring Data Drift.mp4	14.5 MB
5. Monitoring Data Drift.vtt	7.7 KB
6. Summary.mp4	2.9 MB
6. Summary.vtt	1.5 KB
Total files 746