种子简介

种子名称： Pluralsight Path. Machine Learning Literacy (2021)
文件类型： 视频
文件数目： 253个文件
文件大小： 1.66 GB
收录时间： 2022-9-2 01:16
已经下载： 3次
资源热度： 130
最近下载： 2024-6-21 11:46

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:7e2d17185d3e3ac42d0da1f8f2fd6131a938c001&dn=Pluralsight Path. Machine Learning Literacy (2021) 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

Pluralsight Path. Machine Learning Literacy (2021).torrent

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/1. Course Overview/1. Course Overview.mp44.54MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/1. Overview.mp41.92MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/2. What to Expect.mp41.47MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/3. On Machine Learning.mp45.87MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/4. What Is Different About Machine Learning.mp44.03MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/5. Learning Types.mp411.29MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/6. Machine Learning Pipeline.mp49.47MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/7. Problem Definition.mp44.73MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/8. Introducing Google Collaboratory.mp48.3MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/9. Summary.mp41.2MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/1. Overview.mp41.45MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/2. Revisiting ML Pipeline.mp41.5MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/3. Understanding Data Sourcing.mp48.29MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/4. CSV Format.mp41.93MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/5. Understanding SciPy.mp46.54MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/6. Demo - Loading Data into Pandas.mp48.88MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/7. Summary.mp41.12MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/01. Overview.mp41.4MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/02. Revisiting ML Pipeline.mp42.14MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/03. Introducing Data Analysis.mp45.5MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/04. Univariant Numerical Analysis.mp412.54MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/05. Bivariant Numerical Analysis.mp47.93MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/06. Demo - Descriptive Stats - Part One.mp414.14MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/07. Demo - Descriptive Stats - Part Two.mp410.01MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/08. Data Visualization.mp410.63MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/09. Demo - Data Visualization - Part One.mp411.67MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/10. Demo - Data Visualization - Part Two.mp410.4MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/11. Summary.mp41021.43KB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/01. Overview.mp41.88MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/02. Revisting ML Pipeline.mp42.81MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/03. Data Scaling - The Problem.mp411.24MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/04. Data Scaling - The Solution.mp44.32MB

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.mp45.94MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/06. Train Test Split.mp45.05MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/07. KFlod Cross Validation.mp45.25MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/08. Welcoming scikit-learn.mp43.67MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/09. Demo - Data Segregation Techniques.mp48.48MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/10. Summary.mp41.71MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/01. Overview.mp41.5MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/02. Revisiting ML Pipeline.mp41.72MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/03. Scoping Your Focus.mp49.7MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/04. Introducing Derivatives.mp46.81MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/05. Linear Regression.mp45.49MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/06. Variance Bias Tradeoff.mp48.58MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/07. Other Regression Algorithms.mp43.19MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/08. Model Evaluation.mp44.32MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/09. Demo - Deploying and Testing the Model - Part 1.mp418.61MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/10. Demo - Deploying and Testing the Model - Part 2.mp415.76MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/11. Summary.mp42.87MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/1. Overview.mp41.74MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/2. Handling Features.mp42.95MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/3. Model Improvement.mp42.14MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/4. Automated ML.mp46.45MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/5. Operationalization.mp42.63MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/6. Team Data Science Process.mp44.21MB

A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/7. Summary.mp43.74MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.23MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/01. Version Check.mp4552.03KB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/02. Module Overview.mp41.93MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/03. Prerequisites and Course Outline.mp42.27MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/04. The Need for Data Preparation.mp46.1MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/05. Insufficient Data.mp410.02MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/06. Too Much Data.mp46.35MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/07. Non-representative Data, Missing Values, Outliers, Duplicates.mp43.55MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/08. Dealing with Missing Data.mp47.56MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/09. Dealing with Outliers.mp48.17MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/10. Oversampling and Undersampling to Balance Datasets.mp47.13MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/11. Overfitting and Underfitting.mp44.24MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/12. Module Summary.mp42.14MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/01. Module Overview.mp41.83MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/02. Handling Missing Values.mp412.87MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/03. Cleaning Data.mp415.02MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/04. Visualizing Relationships.mp48.4MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/05. Building a Regression Model.mp414.85MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/06. Univariate Feature Imputation Using the Simple Imputer.mp414.99MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/07. Multivariate Feature Imputation Using the Iterative Imputer.mp412.14MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/08. Missing Value Indicator.mp43.97MB

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.mp47.85MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/10. Module Summary.mp42.06MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/01. Module Overview.mp43.97MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/02. Numeric Data.mp48.04MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/03. Scaling and Standardizing Features.mp49.3MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/04. Normalizing and Binarizing Features.mp412.24MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/05. Categorical Data.mp44.89MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/06. Numeric Encoding of Categorical Data.mp47.27MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/07. Label Encoding and One-hot Encoding.mp415.24MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/08. Discretization of Continuous Values Using Pandas Cut.mp46.48MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/09. Discretization of Continuous Values Using the KBins Discretizer.mp47.42MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/10. Building a Regression Model with Discretized Data.mp46.72MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/11. Module Summary.mp41.88MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/1. Module Overview.mp41.82MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/2. The Curse of Dimensionality.mp47.77MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/3. Reducing Complexity in Data.mp44.73MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/4. Feature Selection to Reduce Dimensions.mp45.56MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/5. Filter Methods.mp46.39MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/6. Embedded Methods.mp47.64MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/7. Module Summary.mp42.04MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/1. Module Overview.mp41.84MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/2. Feature Correlations.mp417.28MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/3. Using the Correlation Matrix to Detect Multi-collinearity.mp410.35MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/4. Using Variance Inflation Factor to Detect Multi-collinearity.mp46.57MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/5. Features Selection Using Missing Values Threshold and Variance Threshold.mp413.08MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/6. Univariate Feature Selection Using Chi2 and ANOVA.mp414.09MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/7. Feature Selection Using Wrapper Methods.mp416.17MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/8. Feature Selection Using Embedded Methods.mp47.74MB

A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/9. Module Summary.mp41.98MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.22MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/01. Module Overview.mp41.9MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/02. Prerequisites and Course Outline.mp42.53MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/03. A Case Study - Sentiment Analysis.mp410.11MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/04. Sentiment Analysis as a Binary Classification Problem.mp43.59MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/05. Rule Based vs. ML Based Analysis.mp49.98MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/06. Traditional Machine Learning Systems.mp46.82MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/07. Representation Machine Learning Systems.mp43.76MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/08. Deep Learning and Neural Networks.mp48.48MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/09. Traditional ML vs. Deep Learning.mp44.91MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/10. Traditional ML Algorithms and Neural Network Design.mp46.68MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/11. Module Summary.mp42.1MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/1. Module Overview.mp41.95MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/2. Choosing the Right Machine Learning Problem.mp49.91MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/3. Supervised and Unsupervised Learning.mp413.05MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/4. Reinforcement Learning.mp410.86MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/5. Recommendation Systems.mp46.7MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/6. Module Summary.mp42.17MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/01. Module Overview.mp42.89MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/02. Regression Models.mp43.44MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/03. Choosing Regression Algorithms.mp46.62MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/04. Evaluating Regression Models.mp48.08MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/05. Types of Classification.mp46.02MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/06. Choosing Classification Algorithms.mp44.72MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/07. Evaluating Classifiers.mp46.41MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/08. Clustering Models.mp48.96MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/09. The Curse of Dimensionality.mp48.58MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/10. Dimensionality Reduction Techniques.mp44.21MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/11. Module Summary.mp41.81MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/01. Module Overview.mp41.99MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/02. Install and Set Up.mp43.57MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/03. Exploring the Regression Dataset.mp45.81MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/04. Simple Regression Using Analytical and Machine Learning Techniques.mp410.61MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/05. Multiple Regression Using Analytical and Machine Learning Techniques.mp44.73MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/06. Exploring the Classification Dataset.mp47.77MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/07. Classification Using Logistic Regression.mp410.48MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/08. Classification Using Decision Trees.mp46.8MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/09. Clustering Using K-means.mp415.06MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/10. Dimensionality Reduction Using Principal Component Analysis.mp49.28MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/11. Dimensionality Reduction Using Manifold Learning.mp413.19MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/12. Module Summary.mp42.1MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/1. Module Overview.mp41.77MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/2. The Machine Learning Workflow.mp46.75MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/3. Case Study - PyTorch on the Cloud.mp48.32MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/4. Ensemble Learning.mp410.05MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/5. Averaging and Boosting, Voting and Stacking.mp43.68MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/6. Custom Neural Networks - Their Characteristics and Applications.mp45.83MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/7. Module Summary.mp41.98MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/1. Module Overview.mp41.71MB

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.mp411.33MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/3. Exploring and Preprocessing the Regression Dataset.mp46.4MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/4. Regression Using Bagging and Pasting.mp49.81MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/5. Regression Using Gradient Boosting.mp49.02MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/6. Regression Using Neural Networks.mp414.34MB

B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/7. Summary and Further Study.mp42.57MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.96MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/01. Module Overview.mp42.08MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/02. Prerequisites and Course Outline.mp41.67MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/03. Rule-based vs. ML-based Learning.mp411.32MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/04. Traditional ML vs. Representation ML.mp45.86MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/05. The Machine Learning Workflow.mp45.06MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/06. Choosing the Right Model Based on Data.mp48.73MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/07. Supervised vs. Unsupervised Learning.mp47.76MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/08. Transfer Learning, Cold Start ML and Warm Start ML.mp48.4MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/09. Popular Machine Learning Frameworks.mp45.44MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/10. Demo - Getting Started with scikit-learn.mp43.72MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/11. Module Summary.mp42.23MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/01. Module Overview.mp41.99MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/02. Building and Evaluating Regression Models.mp47.8MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/03. Demo - Linear Regression Using Numeric Features.mp415.19MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/04. Demo - Exploring Regression Data.mp48.37MB

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.mp48.95MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/06. Choosing Regression Algorithms.mp44.31MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/07. Regularized Regression Models - Lasso, Ridge, and Elastic Net.mp46.09MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/08. Stochastic Gradient Descent.mp43.6MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/09. Demo - Multiple Types of Regression.mp410.48MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/10. Module Summary.mp42.18MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/01. Module Overview.mp41.89MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/02. Types of Classifiers.mp46.6MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/03. Understanding Logistic Regression Intuitively.mp48.38MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/04. Demo - Building and Training a Binary Classification Model.mp411.85MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/05. Understanding Support Vector and Nearest Neighbors Classification.mp46.34MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/06. Understanding Decision Tree and Naive Bayes Classification.mp48.29MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/07. Demo - Building Classification Models Using Multiple Techniques.mp413.24MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/08. Demo - Using Warm Start with an Ensemble Classifier.mp45.69MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/09. Demo - Performing Multiclass Classification on Text Data.mp412.84MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/10. Module Summary.mp41.66MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/01. Module Overview.mp41.85MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/02. Clustering as an Unsupervised Learning Technique.mp46.53MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/03. Choosing Clustering Algorithms.mp46.27MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/04. Categorizing Clustering Algorithms.mp44.81MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/05. K-means Clustering.mp44.19MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/06. Hierarchical Clustering.mp45.72MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/07. Demo - Performing K-means Clustering on Unlabeled Data.mp410.19MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/08. Demo - Clustering Using Labeled Data.mp415.61MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/09. Demo - Agglomerative Clustering.mp418.2MB

B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/10. Summary and Further Study.mp42.1MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.28MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/2. Version Check.mp4550.5KB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/01. Module Overview.mp42.32MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/02. Prerequisites and Course Outline.mp41.83MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/03. The Classic Machine Learning Workflow.mp45.1MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/04. New Realities of Deployed Models.mp410.38MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/05. Overfitting.mp46.6MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/06. Training-serving Skew.mp49.56MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/07. Concept Drift.mp49.44MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/08. Concerted Adversaries.mp43.66MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/09. Deploying Machine Learning Models.mp43.74MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/10. Module Summary.mp42.25MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/01. Module Overview.mp41.77MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/02. Serializing Model Parameters.mp45.04MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/03. Demo - Serializing and Deserializing Models Using JSON.mp415.96MB

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.mp410.57MB

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.mp411.91MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/06. Demo - Serializing Pre-processors and Models.mp411.36MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/07. Demo - Serializing Pipelines.mp44.03MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/08. Using Flask for Model Deployment.mp43.19MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/09. Demo - Deploying a Model for Prediction Using Flask.mp413.1MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/10. Module Summary.mp41.93MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/1. Module Overview.mp42.14MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/2. Event-driven Serverless Compute.mp47.53MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/3. Demo - Serializing Classification Models.mp48.03MB

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.mp411.28MB

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.mp413.53MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/6. Demo - Performing Predictions Using Cloud Functions.mp49.46MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/7. Module Summary.mp41.86MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/01. Module Overview.mp42.01MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/02. Introducing the Google AI Platform.mp49.79MB

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.mp47.13MB

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.mp410.4MB

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.mp412.34MB

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.mp46MB

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.mp46.16MB

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.mp410.67MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/09. Demo - Monitoring Deployed Models Using Stackdriver.mp418.04MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/10. Module Summary.mp42.05MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/01. Module Overview.mp42.17MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/02. Introducing Amazon SageMaker.mp43.68MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/03. Training a Model on SageMaker.mp44.31MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/04. Deploying a Model on SageMaker.mp45.65MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/05. Demo - Creating a SageMaker Notebook Instance.mp414.59MB

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.mp45.81MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/07. Demo - Tensor Flow Script for Distributed Training.mp415.59MB

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.mp417.27MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/09. Demo - Deploying the Model for Predictions.mp414.75MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/10. Demo - Auditing and Compliance Using Cloud Trail.mp410.15MB

C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/11. Summary and Further Study.mp42.53MB