Pluralsight Path. Machine Learning Literacy (2021)

磁力链接/BT种子名称

Pluralsight Path. Machine Learning Literacy (2021)

磁力链接/BT种子简介

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收录时间：2022-05-06
最近下载：2025-10-20

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文件列表

  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/09. Demo - Deploying and Testing the Model - Part 1.mp4 19.5 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/09. Demo - Agglomerative Clustering.mp4 19.1 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/09. Demo - Monitoring Deployed Models Using Stackdriver.mp4 18.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/2. Feature Correlations.mp4 18.1 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/08. Demo - Distributed Training Using the SageMaker Tensor Flow Estimator.mp4 18.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/7. Feature Selection Using Wrapper Methods.mp4 17.0 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/03. Demo - Serializing and Deserializing Models Using JSON.mp4 16.7 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/10. Demo - Deploying and Testing the Model - Part 2.mp4 16.5 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/08. Demo - Clustering Using Labeled Data.mp4 16.4 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/07. Demo - Tensor Flow Script for Distributed Training.mp4 16.3 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/07. Label Encoding and One-hot Encoding.mp4 16.0 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/03. Demo - Linear Regression Using Numeric Features.mp4 15.9 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/09. Clustering Using K-means.mp4 15.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/03. Cleaning Data.mp4 15.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/06. Univariate Feature Imputation Using the Simple Imputer.mp4 15.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/05. Building a Regression Model.mp4 15.6 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/09. Demo - Deploying the Model for Predictions.mp4 15.5 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/05. Demo - Creating a SageMaker Notebook Instance.mp4 15.3 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/6. Regression Using Neural Networks.mp4 15.0 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/06. Demo - Descriptive Stats - Part One.mp4 14.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/6. Univariate Feature Selection Using Chi2 and ANOVA.mp4 14.8 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/5. Demo - Deploying a Model to Google Cloud Functions.mp4 14.2 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/07. Demo - Building Classification Models Using Multiple Techniques.mp4 13.9 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/11. Dimensionality Reduction Using Manifold Learning.mp4 13.8 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/09. Demo - Deploying a Model for Prediction Using Flask.mp4 13.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/5. Features Selection Using Missing Values Threshold and Variance Threshold.mp4 13.7 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/3. Supervised and Unsupervised Learning.mp4 13.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/02. Handling Missing Values.mp4 13.5 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/09. Demo - Performing Multiclass Classification on Text Data.mp4 13.5 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/04. Univariant Numerical Analysis.mp4 13.2 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/05. Demo - Scheduling an Evaluation Job to Sample Prediction Instances.mp4 12.9 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/exercise.7z 12.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/04. Normalizing and Binarizing Features.mp4 12.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/07. Multivariate Feature Imputation Using the Iterative Imputer.mp4 12.7 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/05. Demo - Checkpointing Models and Resuming Training from a Checkpoint.mp4 12.5 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/04. Demo - Building and Training a Binary Classification Model.mp4 12.4 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/09. Demo - Data Visualization - Part One.mp4 12.2 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/06. Demo - Serializing Pre-processors and Models.mp4 11.9 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/2. Classification Using Hard Voting and Soft Voting.mp4 11.9 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/03. Rule-based vs. ML-based Learning.mp4 11.9 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/5. Learning Types.mp4 11.8 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/4. Demo - Uploading Pickle Files to Cloud Storage.mp4 11.8 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/03. Data Scaling - The Problem.mp4 11.8 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/4. Reinforcement Learning.mp4 11.4 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/08. Demo - Invoking the Predictions API Using cURL.mp4 11.2 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/08. Data Visualization.mp4 11.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/04. Simple Regression Using Analytical and Machine Learning Techniques.mp4 11.1 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/04. Demo - Using Pickle and Joblib to Serialize and Deserialize Models.mp4 11.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/07. Classification Using Logistic Regression.mp4 11.0 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/09. Demo - Multiple Types of Regression.mp4 11.0 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/04. Demo - Creating a Model and a Version.mp4 10.9 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/10. Demo - Data Visualization - Part Two.mp4 10.9 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/04. New Realities of Deployed Models.mp4 10.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/3. Using the Correlation Matrix to Detect Multi-collinearity.mp4 10.9 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/07. Demo - Performing K-means Clustering on Unlabeled Data.mp4 10.7 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/10. Demo - Auditing and Compliance Using Cloud Trail.mp4 10.6 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/03. A Case Study - Sentiment Analysis.mp4 10.6 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/4. Ensemble Learning.mp4 10.5 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/05. Insufficient Data.mp4 10.5 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/07. Demo - Descriptive Stats - Part Two.mp4 10.5 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/05. Rule Based vs. ML Based Analysis.mp4 10.5 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/2. Choosing the Right Machine Learning Problem.mp4 10.4 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/4. Regression Using Bagging and Pasting.mp4 10.3 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/02. Introducing the Google AI Platform.mp4 10.3 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/03. Scoping Your Focus.mp4 10.2 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/06. Training-serving Skew.mp4 10.0 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/6. Machine Learning Pipeline.mp4 9.9 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/6. Demo - Performing Predictions Using Cloud Functions.mp4 9.9 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/07. Concept Drift.mp4 9.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/03. Scaling and Standardizing Features.mp4 9.7 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/10. Dimensionality Reduction Using Principal Component Analysis.mp4 9.7 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/5. Regression Using Gradient Boosting.mp4 9.5 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/08. Clustering Models.mp4 9.4 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/05. Demo - Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp4 9.4 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/6. Demo - Loading Data into Pandas.mp4 9.3 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/06. Choosing the Right Model Based on Data.mp4 9.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/09. The Curse of Dimensionality.mp4 9.0 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/06. Variance Bias Tradeoff.mp4 9.0 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/09. Demo - Data Segregation Techniques.mp4 8.9 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/08. Deep Learning and Neural Networks.mp4 8.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/04. Visualizing Relationships.mp4 8.8 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/08. Transfer Learning, Cold Start ML and Warm Start ML.mp4 8.8 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/03. Understanding Logistic Regression Intuitively.mp4 8.8 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/04. Demo - Exploring Regression Data.mp4 8.8 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/3. Case Study - PyTorch on the Cloud.mp4 8.7 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/8. Introducing Google Collaboratory.mp4 8.7 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/06. Understanding Decision Tree and Naive Bayes Classification.mp4 8.7 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/3. Understanding Data Sourcing.mp4 8.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/09. Dealing with Outliers.mp4 8.6 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/04. Evaluating Regression Models.mp4 8.5 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/02. Numeric Data.mp4 8.4 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/3. Demo - Serializing Classification Models.mp4 8.4 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/05. Bivariant Numerical Analysis.mp4 8.3 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/09. Feature Imputation as a Part of an Machine Learning Pipeline.mp4 8.2 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/02. Building and Evaluating Regression Models.mp4 8.2 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/06. Exploring the Classification Dataset.mp4 8.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/2. The Curse of Dimensionality.mp4 8.1 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/07. Supervised vs. Unsupervised Learning.mp4 8.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/8. Feature Selection Using Embedded Methods.mp4 8.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/6. Embedded Methods.mp4 8.0 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/08. Dealing with Missing Data.mp4 7.9 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/2. Event-driven Serverless Compute.mp4 7.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/09. Discretization of Continuous Values Using the KBins Discretizer.mp4 7.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/06. Numeric Encoding of Categorical Data.mp4 7.6 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/10. Oversampling and Undersampling to Balance Datasets.mp4 7.5 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/03. Demo - Getting Started with Cloud AI Platform.mp4 7.5 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/06. Traditional Machine Learning Systems.mp4 7.2 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/04. Introducing Derivatives.mp4 7.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/08. Classification Using Decision Trees.mp4 7.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/2. The Machine Learning Workflow.mp4 7.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/10. Building a Regression Model with Discretized Data.mp4 7.0 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/5. Recommendation Systems.mp4 7.0 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/10. Traditional ML Algorithms and Neural Network Design.mp4 7.0 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/03. Choosing Regression Algorithms.mp4 6.9 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/02. Types of Classifiers.mp4 6.9 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/05. Overfitting.mp4 6.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/4. Using Variance Inflation Factor to Detect Multi-collinearity.mp4 6.9 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/5. Understanding SciPy.mp4 6.9 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/02. Clustering as an Unsupervised Learning Technique.mp4 6.8 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/08. Discretization of Continuous Values Using Pandas Cut.mp4 6.8 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/4. Automated ML.mp4 6.8 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/07. Evaluating Classifiers.mp4 6.7 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/3. Exploring and Preprocessing the Regression Dataset.mp4 6.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/5. Filter Methods.mp4 6.7 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/06. Too Much Data.mp4 6.7 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/05. Understanding Support Vector and Nearest Neighbors Classification.mp4 6.6 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/03. Choosing Clustering Algorithms.mp4 6.6 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/07. Demo - Model Predictions Using the gcloud Command Line Utility.mp4 6.5 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/04. The Need for Data Preparation.mp4 6.4 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/07. Regularized Regression Models - Lasso, Ridge, and Elastic Net.mp4 6.4 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/05. Types of Classification.mp4 6.3 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/06. Demo - Testing the Deployed Model Using the Web Console.mp4 6.3 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/05. The Need for Data Segregation.mp4 6.2 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/3. On Machine Learning.mp4 6.2 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/04. Traditional ML vs. Representation ML.mp4 6.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/6. Custom Neural Networks - Their Characteristics and Applications.mp4 6.1 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/03. Exploring the Regression Dataset.mp4 6.1 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/06. Demo - Getting Started with SageMaker for Distributed Training.mp4 6.1 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/06. Hierarchical Clustering.mp4 6.0 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/08. Demo - Using Warm Start with an Ensemble Classifier.mp4 6.0 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/04. Deploying a Model on SageMaker.mp4 5.9 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/exercise.7z 5.9 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/4. Feature Selection to Reduce Dimensions.mp4 5.8 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/03. Introducing Data Analysis.mp4 5.8 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/05. Linear Regression.mp4 5.8 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/09. Popular Machine Learning Frameworks.mp4 5.7 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/exercise.7z 5.7 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/07. KFlod Cross Validation.mp4 5.5 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/03. The Classic Machine Learning Workflow.mp4 5.3 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/05. The Machine Learning Workflow.mp4 5.3 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/06. Train Test Split.mp4 5.3 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/02. Serializing Model Parameters.mp4 5.3 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/09. Traditional ML vs. Deep Learning.mp4 5.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/05. Categorical Data.mp4 5.1 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/04. Categorizing Clustering Algorithms.mp4 5.0 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/3. Reducing Complexity in Data.mp4 5.0 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/7. Problem Definition.mp4 5.0 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/05. Multiple Regression Using Analytical and Machine Learning Techniques.mp4 5.0 MB
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  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/10. Module Summary.vtt 1.9 kB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/10. Module Summary.vtt 1.8 kB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/01. Module Overview.vtt 1.8 kB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/7. Module Summary.vtt 1.8 kB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/01. Module Overview.vtt 1.8 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/2. Revisiting ML Pipeline.vtt 1.7 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/01. Overview.vtt 1.7 kB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/1. Module Overview.vtt 1.6 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/01. Overview.vtt 1.6 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/~i.txt 1.6 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/1. Overview.vtt 1.5 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/7. Summary.vtt 1.3 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/9. Summary.vtt 1.1 kB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/11. Summary.vtt 967 Bytes
  • ~i.txt 935 Bytes
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/01. Version Check.vtt 7 Bytes
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 7 Bytes
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/2. Version Check.vtt 7 Bytes

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