1.67 GB | 6min 26s | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
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FileName :1  Overview.mp4 | Size:  (1.92 MB)
FileName :2  What to Expect.mp4 | Size:  (1.47 MB)
FileName :3  On Machine Learning.mp4 | Size:  (5.87 MB)
FileName :4  What Is Different About Machine Learning.mp4 | Size:  (4.03 MB)
FileName :5  Learning Types.mp4 | Size:  (11.29 MB)
FileName :6  Machine Learning Pipeline.mp4 | Size:  (9.47 MB)
FileName :7  Problem Definition.mp4 | Size:  (4.73 MB)
FileName :8  Introducing Google Collaboratory.mp4 | Size:  (8.3 MB)
FileName :9  Summary.mp4 | Size:  (1.2 MB)
FileName :1  Overview.mp4 | Size:  (1.45 MB)
FileName :2  Revisiting ML Pipeline.mp4 | Size:  (1.5 MB)
FileName :3  Understanding Data Sourcing.mp4 | Size:  (8.29 MB)
FileName :4  CSV Format.mp4 | Size:  (1.93 MB)
FileName :5  Understanding SciPy.mp4 | Size:  (6.54 MB)
FileName :6  Demo - Loading Data into Pandas.mp4 | Size:  (8.88 MB)
FileName :7  Summary.mp4 | Size:  (1.12 MB)
FileName :01  Overview.mp4 | Size:  (1.4 MB)
FileName :02  Revisiting ML Pipeline.mp4 | Size:  (2.14 MB)
FileName :03  Introducing Data Analysis.mp4 | Size:  (5.5 MB)
FileName :04  Univariant Numerical Analysis.mp4 | Size:  (12.54 MB)
FileName :05  Bivariant Numerical Analysis.mp4 | Size:  (7.93 MB)
FileName :06  Demo - Descriptive Stats - Part One.mp4 | Size:  (14.14 MB)
FileName :07  Demo - Descriptive Stats - Part Two.mp4 | Size:  (10.01 MB)
FileName :08  Data Visualization.mp4 | Size:  (10.63 MB)
FileName :09  Demo - Data Visualization - Part One.mp4 | Size:  (11.67 MB)
FileName :10  Demo - Data Visualization - Part Two.mp4 | Size:  (10.4 MB)
FileName :11  Summary.mp4 | Size:  (1021.43 KB)
FileName :01  Overview.mp4 | Size:  (1.88 MB)
FileName :02  Revisting ML Pipeline.mp4 | Size:  (2.81 MB)
FileName :03  Data Scaling - The Problem.mp4 | Size:  (11.24 MB)
FileName :04  Data Scaling - The Solution.mp4 | Size:  (4.32 MB)
FileName :05  The Need for Data Segregation.mp4 | Size:  (5.94 MB)
FileName :06  Train Test Split.mp4 | Size:  (5.05 MB)
FileName :07  KFlod Cross Validation.mp4 | Size:  (5.25 MB)
FileName :08  Welcoming scikit-learn.mp4 | Size:  (3.67 MB)
FileName :09  Demo - Data Segregation Techniques.mp4 | Size:  (8.48 MB)
FileName :10  Summary.mp4 | Size:  (1.71 MB)
FileName :01  Overview.mp4 | Size:  (1.5 MB)
FileName :02  Revisiting ML Pipeline.mp4 | Size:  (1.72 MB)
FileName :03  Scoping Your Focus.mp4 | Size:  (9.7 MB)
FileName :04  Introducing Derivatives.mp4 | Size:  (6.81 MB)
FileName :05  Linear Regression.mp4 | Size:  (5.49 MB)
FileName :06  Variance Bias Tradeoff.mp4 | Size:  (8.58 MB)
FileName :07  Other Regression Algorithms.mp4 | Size:  (3.19 MB)
FileName :08  Model Evaluation.mp4 | Size:  (4.32 MB)
FileName :09  Demo - Deploying and Testing the Model - Part 1.mp4 | Size:  (18.61 MB)
FileName :10  Demo - Deploying and Testing the Model - Part 2.mp4 | Size:  (15.76 MB)
FileName :11  Summary.mp4 | Size:  (2.87 MB)
FileName :1  Overview.mp4 | Size:  (1.74 MB)
FileName :2  Handling Features.mp4 | Size:  (2.95 MB)
FileName :3  Model Improvement.mp4 | Size:  (2.14 MB)
FileName :4  Automated ML.mp4 | Size:  (6.45 MB)
FileName :5  Operationalization.mp4 | Size:  (2.63 MB)
FileName :6  Team Data Science Process.mp4 | Size:  (4.21 MB)
FileName :7  Summary.mp4 | Size:  (3.74 MB)
FileName :exercise.7z | Size:  (12.27 MB)
FileName :1  Course Overview.mp4 | Size:  (3.23 MB)
FileName :01  Version Check.mp4 | Size:  (552.03 KB)
FileName :02  Module Overview.mp4 | Size:  (1.93 MB)
FileName :03  Prerequisites and Course Outline.mp4 | Size:  (2.27 MB)
FileName :04  The Need for Data Preparation.mp4 | Size:  (6.1 MB)
FileName :05  Insufficient Data.mp4 | Size:  (10.02 MB)
FileName :06  Too Much Data.mp4 | Size:  (6.35 MB)
FileName :07  Non-representative Data, Missing Values, Outliers, Duplicates.mp4 | Size:  (3.55 MB)
FileName :08  Dealing with Missing Data.mp4 | Size:  (7.56 MB)
FileName :09  Dealing with Outliers.mp4 | Size:  (8.17 MB)
FileName :10  Oversampling and Undersampling to Balance Datasets.mp4 | Size:  (7.13 MB)
FileName :11  Overfitting and Underfitting.mp4 | Size:  (4.24 MB)
FileName :12  Module Summary.mp4 | Size:  (2.14 MB)
FileName :01  Module Overview.mp4 | Size:  (1.83 MB)
FileName :02  Handling Missing Values.mp4 | Size:  (12.87 MB)
FileName :03  Cleaning Data.mp4 | Size:  (15.02 MB)
FileName :04  Visualizing Relationships.mp4 | Size:  (8.4 MB)
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FileName :06  Univariate Feature Imputation Using the Simple Imputer.mp4 | Size:  (14.99 MB)
FileName :07  Multivariate Feature Imputation Using the Iterative Imputer.mp4 | Size:  (12.14 MB)
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FileName :09  Feature Imputation as a Part of an Machine Learning Pipeline.mp4 | Size:  (7.85 MB)
FileName :10  Module Summary.mp4 | Size:  (2.06 MB)
FileName :01  Module Overview.mp4 | Size:  (3.97 MB)
FileName :02  Numeric Data.mp4 | Size:  (8.04 MB)
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FileName :04  Normalizing and Binarizing Features.mp4 | Size:  (12.24 MB)
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FileName :06  Numeric Encoding of Categorical Data.mp4 | Size:  (7.27 MB)
FileName :07  Label Encoding and One-hot Encoding.mp4 | Size:  (15.24 MB)
FileName :08  Discretization of Continuous Values Using Pandas Cut.mp4 | Size:  (6.48 MB)
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FileName :10  Building a Regression Model with Discretized Data.mp4 | Size:  (6.72 MB)
FileName :11  Module Summary.mp4 | Size:  (1.88 MB)
FileName :1  Module Overview.mp4 | Size:  (1.82 MB)
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FileName :3  Reducing Complexity in Data.mp4 | Size:  (4.73 MB)
FileName :4  Feature Selection to Reduce Dimensions.mp4 | Size:  (5.56 MB)
FileName :5  Filter Methods.mp4 | Size:  (6.39 MB)
FileName :6  Embedded Methods.mp4 | Size:  (7.64 MB)
FileName :7  Module Summary.mp4 | Size:  (2.04 MB)
FileName :1  Module Overview.mp4 | Size:  (1.84 MB)
FileName :2  Feature Correlations.mp4 | Size:  (17.28 MB)
FileName :3  Using the Correlation Matrix to Detect Multi-collinearity.mp4 | Size:  (10.35 MB)
FileName :4  Using Variance Inflation Factor to Detect Multi-collinearity.mp4 | Size:  (6.57 MB)
FileName :5  Features Selection Using Missing Values Threshold and Variance Threshold.mp4 | Size:  (13.08 MB)
FileName :6  Univariate Feature Selection Using Chi2 and ANOVA.mp4 | Size:  (14.09 MB)
FileName :7  Feature Selection Using Wrapper Methods.mp4 | Size:  (16.17 MB)
FileName :8  Feature Selection Using Embedded Methods.mp4 | Size:  (7.74 MB)
FileName :9  Module Summary.mp4 | Size:  (1.98 MB)
FileName :exercise.7z | Size:  (3.04 MB)
FileName :1  Course Overview.mp4 | Size:  (3.22 MB)
FileName :01  Module Overview.mp4 | Size:  (1.9 MB)
FileName :02  Prerequisites and Course Outline.mp4 | Size:  (2.53 MB)
FileName :03  A Case Study - Sentiment Analysis.mp4 | Size:  (10.11 MB)
FileName :04  Sentiment Analysis as a Binary Classification Problem.mp4 | Size:  (3.59 MB)
FileName :05  Rule Based vs  ML Based Analysis.mp4 | Size:  (9.98 MB)
FileName :06  Traditional Machine Learning Systems.mp4 | Size:  (6.82 MB)
FileName :07  Representation Machine Learning Systems.mp4 | Size:  (3.76 MB)
FileName :08  Deep Learning and Neural Networks.mp4 | Size:  (8.48 MB)
FileName :09  Traditional ML vs  Deep Learning.mp4 | Size:  (4.91 MB)
FileName :10  Traditional ML Algorithms and Neural Network Design.mp4 | Size:  (6.68 MB)
FileName :11  Module Summary.mp4 | Size:  (2.1 MB)
FileName :1  Module Overview.mp4 | Size:  (1.95 MB)
FileName :2  Choosing the Right Machine Learning Problem.mp4 | Size:  (9.91 MB)
FileName :3  Supervised and Unsupervised Learning.mp4 | Size:  (13.05 MB)
FileName :4  Reinforcement Learning.mp4 | Size:  (10.86 MB)
FileName :5  Recommendation Systems.mp4 | Size:  (6.7 MB)
FileName :6  Module Summary.mp4 | Size:  (2.17 MB)
FileName :01  Module Overview.mp4 | Size:  (2.89 MB)
FileName :02  Regression Models.mp4 | Size:  (3.44 MB)
FileName :03  Choosing Regression Algorithms.mp4 | Size:  (6.62 MB)
FileName :04  Evaluating Regression Models.mp4 | Size:  (8.08 MB)
FileName :05  Types of Classification.mp4 | Size:  (6.02 MB)
FileName :06  Choosing Classification Algorithms.mp4 | Size:  (4.72 MB)
FileName :07  Evaluating Classifiers.mp4 | Size:  (6.41 MB)
FileName :08  Clustering Models.mp4 | Size:  (8.96 MB)
FileName :09  The Curse of Dimensionality.mp4 | Size:  (8.58 MB)
FileName :10  Dimensionality Reduction Techniques.mp4 | Size:  (4.21 MB)
FileName :11  Module Summary.mp4 | Size:  (1.81 MB)
FileName :01  Module Overview.mp4 | Size:  (1.99 MB)
FileName :02  Install and Set Up.mp4 | Size:  (3.57 MB)
FileName :03  Exploring the Regression Dataset.mp4 | Size:  (5.81 MB)
FileName :04  Simple Regression Using Analytical and Machine Learning Techniques.mp4 | Size:  (10.61 MB)
FileName :05  Multiple Regression Using Analytical and Machine Learning Techniques.mp4 | Size:  (4.73 MB)
FileName :06  Exploring the Classification Dataset.mp4 | Size:  (7.77 MB)
FileName :07  Classification Using Logistic Regression.mp4 | Size:  (10.48 MB)
FileName :08  Classification Using Decision Trees.mp4 | Size:  (6.8 MB)
FileName :09  Clustering Using K-means.mp4 | Size:  (15.06 MB)
FileName :10  Dimensionality Reduction Using Principal Component Analysis.mp4 | Size:  (9.28 MB)
FileName :11  Dimensionality Reduction Using Manifold Learning.mp4 | Size:  (13.19 MB)
FileName :12  Module Summary.mp4 | Size:  (2.1 MB)
FileName :1  Module Overview.mp4 | Size:  (1.77 MB)
FileName :2  The Machine Learning Workflow.mp4 | Size:  (6.75 MB)
FileName :3  Case Study - PyTorch on the Cloud.mp4 | Size:  (8.32 MB)
FileName :4  Ensemble Learning.mp4 | Size:  (10.05 MB)
FileName :5  Averaging and Boosting, Voting and Stacking.mp4 | Size:  (3.68 MB)
FileName :6  Custom Neural Networks - Their Characteristics and Applications.mp4 | Size:  (5.83 MB)
FileName :7  Module Summary.mp4 | Size:  (1.98 MB)
FileName :1  Module Overview.mp4 | Size:  (1.71 MB)
FileName :2  Classification Using Hard Voting and Soft Voting.mp4 | Size:  (11.33 MB)
FileName :3  Exploring and Preprocessing the Regression Dataset.mp4 | Size:  (6.4 MB)
FileName :4  Regression Using Bagging and Pasting.mp4 | Size:  (9.81 MB)
FileName :5  Regression Using Gradient Boosting.mp4 | Size:  (9.02 MB)
FileName :6  Regression Using Neural Networks.mp4 | Size:  (14.34 MB)
FileName :7  Summary and Further Study.mp4 | Size:  (2.57 MB)
FileName :exercise.7z | Size:  (5.42 MB)
FileName :1  Course Overview.mp4 | Size:  (3.96 MB)
FileName :01  Module Overview.mp4 | Size:  (2.08 MB)
FileName :02  Prerequisites and Course Outline.mp4 | Size:  (1.67 MB)
FileName :03  Rule-based vs  ML-based Learning.mp4 | Size:  (11.32 MB)
FileName :04  Traditional ML vs  Representation ML.mp4 | Size:  (5.86 MB)
FileName :05  The Machine Learning Workflow.mp4 | Size:  (5.06 MB)
FileName :06  Choosing the Right Model Based on Data.mp4 | Size:  (8.73 MB)
FileName :07  Supervised vs  Unsupervised Learning.mp4 | Size:  (7.76 MB)
FileName :08  Transfer Learning, Cold Start ML and Warm Start ML.mp4 | Size:  (8.4 MB)
FileName :09  Popular Machine Learning Frameworks.mp4 | Size:  (5.44 MB)
FileName :10  Demo - Getting Started with scikit-learn.mp4 | Size:  (3.72 MB)
FileName :11  Module Summary.mp4 | Size:  (2.23 MB)
FileName :01  Module Overview.mp4 | Size:  (1.99 MB)
FileName :02  Building and Evaluating Regression Models.mp4 | Size:  (7.8 MB)
FileName :03  Demo - Linear Regression Using Numeric Features.mp4 | Size:  (15.19 MB)
FileName :04  Demo - Exploring Regression Data.mp4 | Size:  (8.37 MB)
FileName :06  Choosing Regression Algorithms.mp4 | Size:  (4.31 MB)
FileName :07  Regularized Regression Models - Lasso, Ridge, and Elastic Net.mp4 | Size:  (6.09 MB)
FileName :08  Stochastic Gradient Descent.mp4 | Size:  (3.6 MB)
FileName :09  Demo - Multiple Types of Regression.mp4 | Size:  (10.48 MB)
FileName :10  Module Summary.mp4 | Size:  (2.18 MB)
FileName :01  Module Overview.mp4 | Size:  (1.89 MB)
FileName :02  Types of Classifiers.mp4 | Size:  (6.6 MB)
FileName :03  Understanding Logistic Regression Intuitively.mp4 | Size:  (8.38 MB)
FileName :04  Demo - Building and Training a Binary Classification Model.mp4 | Size:  (11.85 MB)
FileName :05  Understanding Support Vector and Nearest Neighbors Classification.mp4 | Size:  (6.34 MB)
FileName :06  Understanding Decision Tree and Naive Bayes Classification.mp4 | Size:  (8.29 MB)
FileName :07  Demo - Building Classification Models Using Multiple Techniques.mp4 | Size:  (13.24 MB)
FileName :08  Demo - Using Warm Start with an Ensemble Classifier.mp4 | Size:  (5.69 MB)
FileName :09  Demo - Performing Multiclass Classification on Text Data.mp4 | Size:  (12.84 MB)
FileName :10  Module Summary.mp4 | Size:  (1.66 MB)
FileName :01  Module Overview.mp4 | Size:  (1.85 MB)
FileName :02  Clustering as an Unsupervised Learning Technique.mp4 | Size:  (6.53 MB)
FileName :03  Choosing Clustering Algorithms.mp4 | Size:  (6.27 MB)
FileName :04  Categorizing Clustering Algorithms.mp4 | Size:  (4.81 MB)
FileName :05  K-means Clustering.mp4 | Size:  (4.19 MB)
FileName :06  Hierarchical Clustering.mp4 | Size:  (5.72 MB)
FileName :07  Demo - Performing K-means Clustering on Unlabeled Data.mp4 | Size:  (10.19 MB)
FileName :08  Demo - Clustering Using Labeled Data.mp4 | Size:  (15.61 MB)
FileName :09  Demo - Agglomerative Clustering.mp4 | Size:  (18.2 MB)
FileName :10  Summary and Further Study.mp4 | Size:  (2.1 MB)
FileName :exercise.7z | Size:  (5.63 MB)
FileName :1  Course Overview.mp4 | Size:  (3.28 MB)
FileName :2  Version Check.mp4 | Size:  (550.5 KB)
FileName :01  Module Overview.mp4 | Size:  (2.32 MB)
FileName :02  Prerequisites and Course Outline.mp4 | Size:  (1.83 MB)
FileName :03  The Classic Machine Learning Workflow.mp4 | Size:  (5.1 MB)
FileName :04  New Realities of Deployed Models.mp4 | Size:  (10.38 MB)
FileName :05  Overfitting.mp4 | Size:  (6.6 MB)
FileName :06  Training-serving Skew.mp4 | Size:  (9.56 MB)
FileName :07  Concept Drift.mp4 | Size:  (9.44 MB)
FileName :08  Concerted Adversaries.mp4 | Size:  (3.66 MB)
FileName :09  Deploying Machine Learning Models.mp4 | Size:  (3.74 MB)
FileName :10  Module Summary.mp4 | Size:  (2.25 MB)
FileName :01  Module Overview.mp4 | Size:  (1.77 MB)
FileName :02  Serializing Model Parameters.mp4 | Size:  (5.04 MB)
FileName :03  Demo - Serializing and Deserializing Models Using JSON.mp4 | Size:  (15.96 MB)
FileName :04  Demo - Using Pickle and Joblib to Serialize and Deserialize Models.mp4 | Size:  (10.57 MB)
FileName :05  Demo - Checkpointing Models and Resuming Training from a Checkpoint.mp4 | Size:  (11.91 MB)
FileName :06  Demo - Serializing Pre-processors and Models.mp4 | Size:  (11.36 MB)
FileName :07  Demo - Serializing Pipelines.mp4 | Size:  (4.03 MB)
FileName :08  Using Flask for Model Deployment.mp4 | Size:  (3.19 MB)
FileName :09  Demo - Deploying a Model for Prediction Using Flask.mp4 | Size:  (13.1 MB)
FileName :10  Module Summary.mp4 | Size:  (1.93 MB)
FileName :1  Module Overview.mp4 | Size:  (2.14 MB)
FileName :2  Event-driven Serverless Compute.mp4 | Size:  (7.53 MB)
FileName :3  Demo - Serializing Classification Models.mp4 | Size:  (8.03 MB)
FileName :4  Demo - Uploading Pickle Files to Cloud Storage.mp4 | Size:  (11.28 MB)
FileName :5  Demo - Deploying a Model to Google Cloud Functions.mp4 | Size:  (13.53 MB)
FileName :6  Demo - Performing Predictions Using Cloud Functions.mp4 | Size:  (9.46 MB)
FileName :7  Module Summary.mp4 | Size:  (1.86 MB)
FileName :01  Module Overview.mp4 | Size:  (2.01 MB)
FileName :02  Introducing the Google AI Platform.mp4 | Size:  (9.79 MB)
FileName :03  Demo - Getting Started with Cloud AI Platform.mp4 | Size:  (7.13 MB)
FileName :04  Demo - Creating a Model and a Version.mp4 | Size:  (10.4 MB)
FileName :06  Demo - Testing the Deployed Model Using the Web Console.mp4 | Size:  (6 MB)
FileName :07  Demo - Model Predictions Using the gcloud Command Line Utility.mp4 | Size:  (6.16 MB)
FileName :08  Demo - Invoking the Predictions API Using cURL.mp4 | Size:  (10.67 MB)
FileName :09  Demo - Monitoring Deployed Models Using Stackdriver.mp4 | Size:  (18.04 MB)
FileName :10  Module Summary.mp4 | Size:  (2.05 MB)
FileName :01  Module Overview.mp4 | Size:  (2.17 MB)
FileName :02  Introducing Amazon SageMaker.mp4 | Size:  (3.68 MB)
FileName :03  Training a Model on SageMaker.mp4 | Size:  (4.31 MB)
FileName :04  Deploying a Model on SageMaker.mp4 | Size:  (5.65 MB)
FileName :05  Demo - Creating a SageMaker Notebook Instance.mp4 | Size:  (14.59 MB)
FileName :06  Demo - Getting Started with SageMaker for Distributed Training.mp4 | Size:  (5.81 MB)
FileName :07  Demo - Tensor Flow Script for Distributed Training.mp4 | Size:  (15.59 MB)
FileName :08  Demo - Distributed Training Using the SageMaker Tensor Flow Estimator.mp4 | Size:  (17.27 MB)
FileName :09  Demo - Deploying the Model for Predictions.mp4 | Size:  (14.75 MB)
FileName :10  Demo - Auditing and Compliance Using Cloud Trail.mp4 | Size:  (10.15 MB)
FileName :11  Summary and Further Study.mp4 | Size:  (2.53 MB)
FileName :exercise.7z | Size:  (1.75 MB)]
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