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2.63 GB | 00:08:40 | mp4 | 1280X720 | 16:9
Genre: eLearning | Language : English

Files Included :
1 Course Overview.mp4 (3.91 MB)
1 Version Check.mp4 (568.15 KB)
2 Module Overview.mp4 (1.58 MB)
3 Prerequisites and Course Outline.mp4 (1.99 MB)
4 Finding and Connecting Dots - Data Collection and Analysis.mp4 (9.49 MB)
5 Dealing with Missing Values - Deletion and Imputation.mp4 (7.51 MB)
6 Identifying and Coping with Outliers.mp4 (9.66 MB)
7 Summary.mp4 (1.39 MB)
1 Module Overview.mp4 (1.59 MB)
2 Excel - Working with Duplicates and Missing Values.mp4 (30.12 MB)
4 Excel - Clamping Outliers.mp4 (11.47 MB)
5 Python - Filling Missing Values.mp4 (11.5 MB)
6 Python - Working with Missing Values on Real World Data.mp4 (16.1 MB)
7 Python - Identifying and Removing Outliers.mp4 (12.94 MB)
9 Summary.mp4 (1.73 MB)
1 Module Overview.mp4 (2.86 MB)
2 Standardization.mp4 (4.6 MB)
3 Normalization.mp4 (6.93 MB)
4 Binning.mp4 (3.53 MB)
5 Transactional and Analytical Processing.mp4 (7.93 MB)
6 Vertical and Horizontal Scaling.mp4 (7.7 MB)
7 Batch and Streaming Data.mp4 (5.74 MB)
8 Event Time, Ingestion Time, and Processing Time.mp4 (3.88 MB)
9 Summary.mp4 (1.79 MB)
1 Module Overview.mp4 (5.95 MB)
2 Creating an Azure SQL Database.mp4 (15.91 MB)
3 SQL Server Management Studio.mp4 (11.75 MB)
4 Loading and Querying CSV Data.mp4 (12.8 MB)
5 Uploading Data to Blob Storage and Creating a Data Factory.mp4 (14.01 MB)
6 Load Data Using Azure Data Factory.mp4 (18.05 MB)
7 Summary.mp4 (2.11 MB)
01 Module Overview.mp4 (1.51 MB)
02 Continuous and Categorical Data.mp4 (4.93 MB)
03 Numeric Representations of Text Data.mp4 (6.93 MB)
04 Representing Image Data as Matrices.mp4 (4.01 MB)
05 Azure Data Products.mp4 (3.97 MB)
06 Installing and Working with Azure Data Studio.mp4 (9.75 MB)
07 Visualizing Insights Using Azure Data Studio.mp4 (15.49 MB)
08 Installing and Visualizing Data in Power BI.mp4 (10.68 MB)
09 Creating Different Visualizations in Power BI.mp4 (6.58 MB)
10 Summary and Further Study.mp4 (1.94 MB)
1 Course Overview.mp4 (3.97 MB)
1 Version Check.mp4 (539.23 KB)
2 Module Overview.mp4 (1.41 MB)
3 Prerequisites and Course Outline.mp4 (1.87 MB)
4 Connecting the Dots - Combining and Shaping Data.mp4 (7.02 MB)
5 Wide Form and Long Form Data.mp4 (4.6 MB)
6 Joins.mp4 (7.71 MB)
7 Aggregations.mp4 (4.34 MB)
8 Summary.mp4 (1.94 MB)
01 Module Overview.mp4 (1.8 MB)
02 Load Data and Join Tables.mp4 (36.51 MB)
03 Aggregation Operations.mp4 (5.4 MB)
04 Join Tables Using Power Query.mp4 (18.77 MB)
05 Convert CSV Data to Table Format.mp4 (21.9 MB)
06 Convert Wide Form Data to Long Form.mp4 (12.83 MB)
07 Pivot Tables for Summary Statistics.mp4 (17.65 MB)
08 Unpivot Tables.mp4 (10.6 MB)
09 Calculating Cumulative Sum and Ranks on Partitioned Data.mp4 (23.48 MB)
10 Summary.mp4 (2.1 MB)
1 Module Overview.mp4 (1.8 MB)
2 Introducing the Azure SQL Database.mp4 (3.24 MB)
3 Loading Data to Azure Blob Storage.mp4 (10.25 MB)
4 Creating an Azure SQL Database and Tables.mp4 (9.97 MB)
5 Loading Data Using Azure Data Factory Pipelines.mp4 (27.16 MB)
6 Querying Data in SQL Using Aggregations.mp4 (6.26 MB)
7 Performing Join Operations in SQL.mp4 (7.84 MB)
8 Performing Pivot and Unpivot Operations in SQL.mp4 (6.9 MB)
9 Summary.mp4 (1.79 MB)
01 Module Overview.mp4 (1.89 MB)
02 Data Cleaning - Missing Data and Outliers.mp4 (5.85 MB)
03 Getting Started with Azure Notebooks.mp4 (5.8 MB)
04 Combining and Shaping Data Using Pandas.mp4 (7.6 MB)
05 Identifying and Coping with Outliers.mp4 (11.61 MB)
06 Detecting Outliers Using Z-scores.mp4 (8.94 MB)
07 Handling Missing Values.mp4 (10.17 MB)
08 Cleaning Data.mp4 (9.76 MB)
09 Working with Imbalanced Data.mp4 (7.15 MB)
10 Handling Imbalanced Data with Scikit Learn.mp4 (17.43 MB)
11 Summary.mp4 (1.92 MB)
01 Module Overview.mp4 (1.82 MB)
02 Transactional and Analytical Processing on Azure.mp4 (10.22 MB)
04 Loading Data from Blob Store to the Data Warehouse.mp4 (11.94 MB)
06 Enabling Resource Permissions to an Azure Active Directory App.mp4 (10.6 MB)
07 Python Script to Transform Data Using Pyspark.mp4 (8.6 MB)
08 Transform Data Using a Spark Activity.mp4 (19.73 MB)
09 Copying Data from a Blob Storage Folder.mp4 (8.7 MB)
10 Summary.mp4 (2.04 MB)
1 Module Overview.mp4 (1.6 MB)
2 Batch and Streaming Data.mp4 (7.24 MB)
3 Types of Windows.mp4 (8.83 MB)
4 Watermarks and the Notion of Time.mp4 (6.64 MB)
5 Creating a Stream Analytics Job and a Power BI Pro Account.mp4 (11.45 MB)
6 Configuring Input and Output for the Stream Analytics Job.mp4 (11.22 MB)
7 Visualizing Streaming Data Using Power BI.mp4 (10.84 MB)
8 Summary and Further Study.mp4 (2.09 MB)
1 Course Overview.mp4 (3.58 MB)
1 Version Check.mp4 (573.44 KB)
2 Module Overview.mp4 (1.81 MB)
3 Prerequisites and Course Outline.mp4 (1.95 MB)
4 Understanding Descriptive Statistics.mp4 (9.06 MB)
5 Measures of Central Tendency and Dispersion.mp4 (6.7 MB)
6 Understanding Variance.mp4 (3.9 MB)
7 Measuring Relationships Using Covariance.mp4 (4.8 MB)
8 Covariance Matrices and Correlation Matrices.mp4 (7.07 MB)
01 Module Overview.mp4 (1.7 MB)
02 Working with Excel Workbooks.mp4 (7.24 MB)
03 Descriptive Statistics for Univariate Data.mp4 (19.14 MB)
04 Visualizing Univariate Statistics.mp4 (8.72 MB)
05 Using Pivot Tables for Summary Statistics.mp4 (11.05 MB)
06 Performing Analysis Using Bucketing and Pivot Charts.mp4 (18.46 MB)
07 Visualizing Bivariate Relationships.mp4 (7.38 MB)
08 Performing Regression Analysis on Bivariate Data.mp4 (13.4 MB)
09 Covariance and Correlation Matrices for Multivariate Data.mp4 (12.78 MB)
10 Visualizing Multivariate Data Using Pivot Charts.mp4 (9.26 MB)
11 Regression Analysis with Multivariate Data.mp4 (10.24 MB)
12 Module Summary.mp4 (2.06 MB)
1 Module Overview.mp4 (4.74 MB)
2 Getting Started with Azure Notebooks.mp4 (5.55 MB)
3 Calculating Descriptive Statistics Using Python.mp4 (11.7 MB)
4 Calculating Descriptive Statistics Using Python Libraries.mp4 (13.73 MB)
5 Calculating Skewness Kurtosis and Simple Visualizations.mp4 (7.49 MB)
6 Bivariate Analysis.mp4 (7.83 MB)
7 Simple Regression on Bivariate Data Using Scipy.mp4 (5.75 MB)
9 Module Summary.mp4 (1.54 MB)
1 Module Overview.mp4 (1.43 MB)
2 Intuition behind Bayes Theorem.mp4 (6.27 MB)
3 A Priori and Conditional Probabilities to Classify Data.mp4 (6.88 MB)
4 Applying Bayes Theorem to Make Predictions.mp4 (10.5 MB)
5 Calculating a Priori Probabilities of Survival on the Titanic.mp4 (17.19 MB)
6 Applying Bayes Rule Using the Naive Bayes Classifier.mp4 (6.62 MB)
7 Module Summary.mp4 (1.53 MB)
01 Module Overview.mp4 (1.49 MB)
02 Understanding Kernel Density Estimation.mp4 (5.44 MB)
05 Regression Analysis on Bivariate Data.mp4 (10.5 MB)
08 Visualizing Data Using Box Plots and Violin Plots.mp4 (9.07 MB)
10 Summary and Further Study.mp4 (2.21 MB)
1 Course Overview.mp4 (3.7 MB)
1 Module Overview.mp4 (2.04 MB)
2 Prerequisites and Course Outline.mp4 (1.75 MB)
3 Connecting the Dots with Data.mp4 (4.35 MB)
4 Hypothesis Testing.mp4 (11.93 MB)
5 T-tests.mp4 (5.19 MB)
6 ANOVA.mp4 (7.64 MB)
7 Designing a Machine Learning Experiment.mp4 (8.5 MB)
8 Summary.mp4 (2.58 MB)
1 Module Overview.mp4 (2.35 MB)
2 Getting Started with Azure ML Studio.mp4 (13.5 MB)
3 Loading and Visualizing Data.mp4 (12.53 MB)
4 Exploring Relationships in Data.mp4 (12 MB)
5 Preprocessing and Preparing Data.mp4 (16.08 MB)
6 Building and Training a Regression Model for Price Prediction.mp4 (19.86 MB)
7 Building and Training a Regression Model in Python.mp4 (23.26 MB)
8 Summary.mp4 (1.98 MB)
1 Module Overview.mp4 (1.72 MB)
2 Overfitting and Techniques to Mitigate Overfitting.mp4 (10.58 MB)
3 Accuracy, Precision, and Recall.mp4 (7.8 MB)
4 The ROC Curve.mp4 (6.17 MB)
5 Preparing and Processing Data.mp4 (18.75 MB)
6 Building Training and Evaluating a Classification Model.mp4 (20.13 MB)
7 Summary.mp4 (2.09 MB)
01 Module Overview.mp4 (1.99 MB)
02 Cross-validation in the ML Workflow.mp4 (3.48 MB)
03 Singular Cross-validation.mp4 (5.15 MB)
04 Cross-validation Using Azure ML Studio.mp4 (15.52 MB)
05 K-fold Cross-validation and Variants.mp4 (9.91 MB)
06 K-fold Cross-validation in scikit-learn.mp4 (15.58 MB)
07 Repeated K-fold Cross-validation in scikit-learn.mp4 (9.43 MB)
08 Stratified K-fold Cross-validation in scikit-learn.mp4 (12.59 MB)
09 Group K-fold in scikit-learn.mp4 (8.77 MB)
10 Summary.mp4 (1.98 MB)
1 Module Overview.mp4 (3.43 MB)
2 Hyperparameter Tuning.mp4 (3.19 MB)
3 Decision Trees.mp4 (4.56 MB)
4 Hyperparameter Tuning a Decision Forest Classifier.mp4 (16.95 MB)
5 Tuning and Scoring Multiple Models.mp4 (12.6 MB)
6 Summary and Further Study.mp4 (1.74 MB)
1 Course Overview.mp4 (2.84 MB)
1 What Is Statistics.mp4 (8.6 MB)
2 What Are Estimators.mp4 (5.6 MB)
3 Demo - Installing Jamovi.mp4 (10.42 MB)
4 Basic Probability and Random Variables.mp4 (5.56 MB)
5 Continuous and Discrete Distribution Functions.mp4 (8.5 MB)
6 Does the Distribution Change in a Sample.mp4 (10.66 MB)
7 Demo - Making Our First Statistical Test.mp4 (15.21 MB)
8 Summary.mp4 (2.2 MB)
1 Introducing Case Study.mp4 (1.64 MB)
2 T Distribution - When the Variance Is Unknown.mp4 (4.28 MB)
3 Statistical Hypothesis - What Am I Missing.mp4 (5.88 MB)
4 T Test - Estimate the Chance of Equal!.mp4 (8.14 MB)
5 Demo - Comparing Means.mp4 (11.15 MB)
6 What if I Am Mistaken.mp4 (3.75 MB)
7 Confidence Interval - The Other Face of the Coin.mp4 (7.15 MB)
8 Summary.mp4 (3.05 MB)
1 Introducing Demo - Salary Fairness.mp4 (2.23 MB)
2 Goodness of Fit - Let's Test if This Follows The Pattern!.mp4 (8.17 MB)
3 Demo - Salary Fairness.mp4 (9.66 MB)
4 Normality Tests.mp4 (3.77 MB)
5 Summary.mp4 (1.19 MB)
1 Introducing ANOVA.mp4 (794.87 KB)
2 Introducing Demo - Selecting the Best Coffee.mp4 (1.34 MB)
3 Null Hypothesis of ANOVA.mp4 (4.91 MB)
4 The Output of ANOVA.mp4 (4.84 MB)
5 Demo - Selecting the Best Coffee.mp4 (9.88 MB)
6 Assumptions of the Model - Hetero-what!.mp4 (4 MB)
7 Checking Homoscedasticity - Levene and ANOVA Inception.mp4 (5.76 MB)
8 Demo - Revisiting Selecting the Best Coffee Video.mp4 (15.92 MB)
9 Summary.mp4 (1.09 MB)
1 Introducing Demo - Mixing All Together.mp4 (1.48 MB)
2 Why Don't You Use Multiple T Tests.mp4 (3.81 MB)
3 Tukey Comparisons - I Want It All.mp4 (3.77 MB)
4 Planned Contrasts - When You Need More Potency.mp4 (2.7 MB)
5 Demo - Mixing all Together.mp4 (11.96 MB)
6 Summary.mp4 (2.69 MB)
1 Introducing Demo - The Houses Price.mp4 (1.53 MB)
2 The Power of Regression.mp4 (4.07 MB)
3 Minimum Squares Estimation - Find the Linear Part.mp4 (6.05 MB)
4 Prediction and Extrapolation.mp4 (2.84 MB)
5 The Assumptions of Regression.mp4 (5.5 MB)
6 Demo - The Houses Price.mp4 (12.28 MB)
1 Introducing Demo - The Housing Problem.mp4 (918.53 KB)
2 When the World Is Not Linear, You Just Linearize!.mp4 (6.95 MB)
3 Demo - The Housing Problem - Part 1.mp4 (11.03 MB)
4 Demo - The Housing Problem - Part 2.mp4 (7.06 MB)
5 Course Wrap Up.mp4 (2.38 MB)
1 Course Overview.mp4 (3.47 MB)
01 Version Check.mp4 (545.6 KB)
02 Module Overview.mp4 (1.83 MB)
03 Prerequisites and Course Outline.mp4 (1.9 MB)
04 Visualizations and Use Cases.mp4 (6.81 MB)
05 Getting Started with Azure Notebooks.mp4 (5.63 MB)
06 Visualizing Statistical Data.mp4 (13.2 MB)
07 Box Plots and Violin Plots.mp4 (13.73 MB)
08 Histograms.mp4 (7.04 MB)
09 Pie Charts.mp4 (9.65 MB)
10 Visualizing Autocorrelation.mp4 (6.17 MB)
11 Stacked Plots and Stem Plots.mp4 (9.77 MB)
12 Summary.mp4 (1.77 MB)
01 Module Overview.mp4 (1.83 MB)
02 Loading XML Data.mp4 (9.05 MB)
03 Bubble Charts.mp4 (13.52 MB)
04 Bubble Maps for Geographical Data.mp4 (8.59 MB)
05 Heatmaps.mp4 (6.8 MB)
06 Interactive Time Series Charts.mp4 (7.83 MB)
07 Candlestick Charts for Stock Price Movements.mp4 (6.21 MB)
08 Funnel Charts and SVG Paths.mp4 (4.01 MB)
09 Drawing Funnel Charts.mp4 (14.41 MB)
10 Sankey Diagrams.mp4 (6.96 MB)
11 Summary.mp4 (1.75 MB)
1 Module Overview.mp4 (1.75 MB)
2 Visualizing Univariate Distributions.mp4 (10.1 MB)
3 Visualizing Bivariate Relationships.mp4 (7.94 MB)
4 Pairwise Relationships.mp4 (7.97 MB)
5 Regression Plots.mp4 (6.81 MB)
6 Strip Plots and Swarm Plots.mp4 (4.79 MB)
7 Box Plots, Violin Plots, and Factor Plots.mp4 (9.57 MB)
8 Module Summary.mp4 (2.34 MB)
1 Module Overview.mp4 (2.1 MB)
2 Data Silos and Possible Solutions to Silos.mp4 (11.38 MB)
3 Setting up an Azure SQL Data Warehouse.mp4 (5.82 MB)
4 Uploading a File to Azure Blob Storage.mp4 (10.96 MB)
5 Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.mp4 (17.07 MB)
6 Loading Data from S3 Buckets to the SQL Data Warehouse.mp4 (19.32 MB)
7 Summary.mp4 (2.21 MB)
1 Module Overview.mp4 (1.54 MB)
2 Loading Data to an On-premises SQL Server.mp4 (10.42 MB)
3 Configuring a Self-hosted Integration Runtime.mp4 (15.56 MB)
4 Copying Data from On-premises SQL Server to SQL Data Warehouse.mp4 (8.37 MB)
5 Visualizing Data Using Power BI.mp4 (15.5 MB)
6 Summary and Further Study.mp4 (1.8 MB)
1 Course Overview.mp4 (3.08 MB)
1 Getting Started with Machine Learning.mp4 (4.26 MB)
2 Unsupervised Learning - I Don't Wanna Miss a Thing!.mp4 (7.65 MB)
3 Supervised Learning - When We Learn from History.mp4 (8.75 MB)
4 Demo.mp4 (13.32 MB)
5 Summary.mp4 (1018.07 KB)
1 How to Learn in Machine Learning Cost Functions!.mp4 (4.92 MB)
2 Finding the Minima - GD and SGD.mp4 (7.68 MB)
3 Making Things Faster - Feature Scaling and Learning Rates.mp4 (9.23 MB)
4 How It All Fits - Going Back to the Model!.mp4 (3.86 MB)
5 Demo - Implementing GD and SGD.mp4 (13.38 MB)
6 Summary.mp4 (605.83 KB)
1 Back to the Basics - Linear Regression Again.mp4 (5.86 MB)
2 Hyperparameter Optimization - TrainDevTest Sets.mp4 (8.49 MB)
3 Demo - Perform Simple Linear Regression.mp4 (7.26 MB)
5 Demo - Perform Multiple Linear Regression.mp4 (5.79 MB)
6 What No One Talks About - Assumptions.mp4 (5.38 MB)
7 Demo - Evaluate a Regression Model.mp4 (13.94 MB)
8 Summary.mp4 (1006.78 KB)
1 Non-linear Regression - Polynomial Features.mp4 (4.69 MB)
2 Overfitting - A Great Responsibility Conveys a Great Regularization.mp4 (8.39 MB)
3 Demo - Linear Regression with Regularization.mp4 (10.18 MB)
4 Demo - Perform Polynomial Regression.mp4 (10.06 MB)
5 Outliers Strike Again - Spline Regression as Local Regressor.mp4 (3.48 MB)
6 Demo - Perform a Spline Regression.mp4 (7.59 MB)
7 Model Selection - Let the Simplest Model Win.mp4 (12.2 MB)
8 Demo - Comparing Models.mp4 (11.25 MB)
9 Summary.mp4 (1.16 MB)
1 What Does the Boundary Look Like.mp4 (5.94 MB)
2 If You Need to Classify, Try the Star - Logistic Regression in Depth!.mp4 (8.39 MB)
3 Demo - Classify with Logistic Regression.mp4 (25.07 MB)
4 Classify Multiple Categories - One vs All Classification.mp4 (5.47 MB)
5 Demo - Multiclass Classification with Multinomial Logistic Regression.mp4 (7.01 MB)
6 Summary.mp4 (660.58 KB)
1 Maximizing the Actual Information - Bayesian Attack!.mp4 (5.26 MB)
2 Demo - Multilabel Intent Classification with Naive Bayes.mp4 (9.47 MB)
3 Large Margin Classification - Outliers!.mp4 (4.91 MB)
4 Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.mp4 (6.52 MB)
5 Demo - Classify Iris with SVM.mp4 (5.6 MB)
6 Summary.mp4 (1.26 MB)
1 Distance and Covariance Matrices.mp4 (8.96 MB)
2 Clustering - Hierarchical and Non-hierarchical.mp4 (10.92 MB)
3 Compression - PCA and CA.mp4 (7.57 MB)
4 Demo - Perform PCA.mp4 (4.58 MB)
5 Demo - Breast Cancer at a Glance.mp4 (19.22 MB)
6 Summary.mp4 (1.9 MB)
1 Course Overview.mp4 (2.4 MB)
1 Overview.mp4 (2.3 MB)
2 Factors of a Well Defined Hypothesis.mp4 (3.44 MB)
3 Alternative Hypothesis and Null Hypothesis.mp4 (5.77 MB)
4 Key Performance Indicators Required.mp4 (2.2 MB)
5 Hypothesis Acceptance Criteria.mp4 (2.25 MB)
6 Summary.mp4 (1.21 MB)
1 Overview.mp4 (1.18 MB)
4 Training and Testing Data Subsets.mp4 (4.79 MB)
6 Summary.mp4 (1.15 MB)
1 Overview.mp4 (1.44 MB)
2 Selecting Data Granularity.mp4 (27 MB)
3 Dependent and Independent Variables.mp4 (3.06 MB)
4 Choosing the Right Encoding Method.mp4 (5.37 MB)
5 Feature Scaling.mp4 (3.71 MB)
6 Common Feature Selection Techniques.mp4 (2.34 MB)
7 Summary.mp4 (1.14 MB)
1 Overview.mp4 (1.18 MB)
2 Selecting the Appropriate Model.mp4 (6.47 MB)
3 Azure ML - Classification Model Options.mp4 (4.03 MB)
4 Building and Registering the Model.mp4 (16.38 MB)
5 Metrics for Model Classification Optional.mp4 (2 MB)
6 Tuning Hyperparameters and Interpreting the Model.mp4 (16.95 MB)
7 Deploying the Model.mp4 (18.85 MB)
8 Summary.mp4 (924.33 KB)
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