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Pluralsight Path. Machine Learning Literacy (2021)

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Pluralsight Path Machine Learning Literacy 2021

文件列表
  1. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/1. Course Overview/1. Course Overview.mp44.54MB
  2. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/1. Overview.mp41.92MB
  3. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/2. What to Expect.mp41.47MB
  4. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/3. On Machine Learning.mp45.87MB
  5. 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
  6. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/5. Learning Types.mp411.29MB
  7. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/6. Machine Learning Pipeline.mp49.47MB
  8. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/7. Problem Definition.mp44.73MB
  9. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/8. Introducing Google Collaboratory.mp48.3MB
  10. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/9. Summary.mp41.2MB
  11. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/1. Overview.mp41.45MB
  12. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/2. Revisiting ML Pipeline.mp41.5MB
  13. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/3. Understanding Data Sourcing.mp48.29MB
  14. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/4. CSV Format.mp41.93MB
  15. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/5. Understanding SciPy.mp46.54MB
  16. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/6. Demo - Loading Data into Pandas.mp48.88MB
  17. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/3. Feeding Your Machine Learning Pipeline/7. Summary.mp41.12MB
  18. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/01. Overview.mp41.4MB
  19. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/02. Revisiting ML Pipeline.mp42.14MB
  20. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/03. Introducing Data Analysis.mp45.5MB
  21. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/04. Univariant Numerical Analysis.mp412.54MB
  22. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/05. Bivariant Numerical Analysis.mp47.93MB
  23. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/06. Demo - Descriptive Stats - Part One.mp414.14MB
  24. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/07. Demo - Descriptive Stats - Part Two.mp410.01MB
  25. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/08. Data Visualization.mp410.63MB
  26. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/09. Demo - Data Visualization - Part One.mp411.67MB
  27. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/10. Demo - Data Visualization - Part Two.mp410.4MB
  28. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/11. Summary.mp41021.43KB
  29. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/01. Overview.mp41.88MB
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/10. Summary.mp41.71MB
  39. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/01. Overview.mp41.5MB
  40. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/02. Revisiting ML Pipeline.mp41.72MB
  41. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/03. Scoping Your Focus.mp49.7MB
  42. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/04. Introducing Derivatives.mp46.81MB
  43. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/05. Linear Regression.mp45.49MB
  44. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/06. Variance Bias Tradeoff.mp48.58MB
  45. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/07. Other Regression Algorithms.mp43.19MB
  46. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/08. Model Evaluation.mp44.32MB
  47. 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
  48. 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
  49. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/11. Summary.mp42.87MB
  50. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/1. Overview.mp41.74MB
  51. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/2. Handling Features.mp42.95MB
  52. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/3. Model Improvement.mp42.14MB
  53. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/4. Automated ML.mp46.45MB
  54. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/5. Operationalization.mp42.63MB
  55. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/6. Team Data Science Process.mp44.21MB
  56. A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/7. What Is Next/7. Summary.mp43.74MB
  57. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.23MB
  58. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/01. Version Check.mp4552.03KB
  59. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/02. Module Overview.mp41.93MB
  60. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/03. Prerequisites and Course Outline.mp42.27MB
  61. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/04. The Need for Data Preparation.mp46.1MB
  62. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/05. Insufficient Data.mp410.02MB
  63. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/06. Too Much Data.mp46.35MB
  64. 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
  65. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/08. Dealing with Missing Data.mp47.56MB
  66. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/09. Dealing with Outliers.mp48.17MB
  67. 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
  68. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/11. Overfitting and Underfitting.mp44.24MB
  69. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/2. Understanding the Need for Data Preparation/12. Module Summary.mp42.14MB
  70. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/01. Module Overview.mp41.83MB
  71. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/02. Handling Missing Values.mp412.87MB
  72. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/03. Cleaning Data.mp415.02MB
  73. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/04. Visualizing Relationships.mp48.4MB
  74. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/05. Building a Regression Model.mp414.85MB
  75. 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
  76. 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
  77. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/08. Missing Value Indicator.mp43.97MB
  78. 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
  79. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/10. Module Summary.mp42.06MB
  80. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/01. Module Overview.mp43.97MB
  81. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/02. Numeric Data.mp48.04MB
  82. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/03. Scaling and Standardizing Features.mp49.3MB
  83. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/04. Normalizing and Binarizing Features.mp412.24MB
  84. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/05. Categorical Data.mp44.89MB
  85. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/06. Numeric Encoding of Categorical Data.mp47.27MB
  86. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/07. Label Encoding and One-hot Encoding.mp415.24MB
  87. 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
  88. 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
  89. 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
  90. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/11. Module Summary.mp41.88MB
  91. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/1. Module Overview.mp41.82MB
  92. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/2. The Curse of Dimensionality.mp47.77MB
  93. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/3. Reducing Complexity in Data.mp44.73MB
  94. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/4. Feature Selection to Reduce Dimensions.mp45.56MB
  95. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/5. Filter Methods.mp46.39MB
  96. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/6. Embedded Methods.mp47.64MB
  97. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/5. Understanding Feature Selection/7. Module Summary.mp42.04MB
  98. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/1. Module Overview.mp41.84MB
  99. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/2. Feature Correlations.mp417.28MB
  100. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/3. Using the Correlation Matrix to Detect Multi-collinearity.mp410.35MB
  101. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/4. Using Variance Inflation Factor to Detect Multi-collinearity.mp46.57MB
  102. 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
  103. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/6. Univariate Feature Selection Using Chi2 and ANOVA.mp414.09MB
  104. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/7. Feature Selection Using Wrapper Methods.mp416.17MB
  105. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/8. Feature Selection Using Embedded Methods.mp47.74MB
  106. A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/9. Module Summary.mp41.98MB
  107. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.22MB
  108. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/01. Module Overview.mp41.9MB
  109. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/02. Prerequisites and Course Outline.mp42.53MB
  110. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/03. A Case Study - Sentiment Analysis.mp410.11MB
  111. 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
  112. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/05. Rule Based vs. ML Based Analysis.mp49.98MB
  113. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/06. Traditional Machine Learning Systems.mp46.82MB
  114. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/07. Representation Machine Learning Systems.mp43.76MB
  115. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/08. Deep Learning and Neural Networks.mp48.48MB
  116. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/09. Traditional ML vs. Deep Learning.mp44.91MB
  117. 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
  118. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/2. Exploring Approaches to Machine Learning/11. Module Summary.mp42.1MB
  119. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/1. Module Overview.mp41.95MB
  120. 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
  121. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/3. Supervised and Unsupervised Learning.mp413.05MB
  122. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/4. Reinforcement Learning.mp410.86MB
  123. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/5. Recommendation Systems.mp46.7MB
  124. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/6. Module Summary.mp42.17MB
  125. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/01. Module Overview.mp42.89MB
  126. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/02. Regression Models.mp43.44MB
  127. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/03. Choosing Regression Algorithms.mp46.62MB
  128. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/04. Evaluating Regression Models.mp48.08MB
  129. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/05. Types of Classification.mp46.02MB
  130. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/06. Choosing Classification Algorithms.mp44.72MB
  131. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/07. Evaluating Classifiers.mp46.41MB
  132. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/08. Clustering Models.mp48.96MB
  133. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/09. The Curse of Dimensionality.mp48.58MB
  134. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/10. Dimensionality Reduction Techniques.mp44.21MB
  135. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/4. Choosing the Right Machine Learning Solution/11. Module Summary.mp41.81MB
  136. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/01. Module Overview.mp41.99MB
  137. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/02. Install and Set Up.mp43.57MB
  138. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/03. Exploring the Regression Dataset.mp45.81MB
  139. 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
  140. 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
  141. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/06. Exploring the Classification Dataset.mp47.77MB
  142. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/07. Classification Using Logistic Regression.mp410.48MB
  143. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/08. Classification Using Decision Trees.mp46.8MB
  144. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/09. Clustering Using K-means.mp415.06MB
  145. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/10. Dimensionality Reduction Using Principal Component Analysis.mp49.28MB
  146. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/11. Dimensionality Reduction Using Manifold Learning.mp413.19MB
  147. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/12. Module Summary.mp42.1MB
  148. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/1. Module Overview.mp41.77MB
  149. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/2. The Machine Learning Workflow.mp46.75MB
  150. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/3. Case Study - PyTorch on the Cloud.mp48.32MB
  151. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/4. Ensemble Learning.mp410.05MB
  152. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/5. Averaging and Boosting, Voting and Stacking.mp43.68MB
  153. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/6. Custom Neural Networks - Their Characteristics and Applications.mp45.83MB
  154. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/6. Designing Machine Learning Workflows/7. Module Summary.mp41.98MB
  155. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/1. Module Overview.mp41.71MB
  156. 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
  157. 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
  158. 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
  159. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/5. Regression Using Gradient Boosting.mp49.02MB
  160. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/6. Regression Using Neural Networks.mp414.34MB
  161. B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/7. Summary and Further Study.mp42.57MB
  162. B2. Creating Machine Learning Models (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.96MB
  163. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/01. Module Overview.mp42.08MB
  164. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/02. Prerequisites and Course Outline.mp41.67MB
  165. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/03. Rule-based vs. ML-based Learning.mp411.32MB
  166. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/04. Traditional ML vs. Representation ML.mp45.86MB
  167. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/05. The Machine Learning Workflow.mp45.06MB
  168. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/06. Choosing the Right Model Based on Data.mp48.73MB
  169. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/07. Supervised vs. Unsupervised Learning.mp47.76MB
  170. 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
  171. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/09. Popular Machine Learning Frameworks.mp45.44MB
  172. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/10. Demo - Getting Started with scikit-learn.mp43.72MB
  173. B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/11. Module Summary.mp42.23MB
  174. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/01. Module Overview.mp41.99MB
  175. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/02. Building and Evaluating Regression Models.mp47.8MB
  176. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/03. Demo - Linear Regression Using Numeric Features.mp415.19MB
  177. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/04. Demo - Exploring Regression Data.mp48.37MB
  178. 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
  179. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/06. Choosing Regression Algorithms.mp44.31MB
  180. 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
  181. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/08. Stochastic Gradient Descent.mp43.6MB
  182. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/09. Demo - Multiple Types of Regression.mp410.48MB
  183. B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/10. Module Summary.mp42.18MB
  184. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/01. Module Overview.mp41.89MB
  185. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/02. Types of Classifiers.mp46.6MB
  186. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/03. Understanding Logistic Regression Intuitively.mp48.38MB
  187. 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
  188. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/05. Understanding Support Vector and Nearest Neighbors Classification.mp46.34MB
  189. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/06. Understanding Decision Tree and Naive Bayes Classification.mp48.29MB
  190. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/07. Demo - Building Classification Models Using Multiple Techniques.mp413.24MB
  191. 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
  192. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/09. Demo - Performing Multiclass Classification on Text Data.mp412.84MB
  193. B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/10. Module Summary.mp41.66MB
  194. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/01. Module Overview.mp41.85MB
  195. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/02. Clustering as an Unsupervised Learning Technique.mp46.53MB
  196. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/03. Choosing Clustering Algorithms.mp46.27MB
  197. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/04. Categorizing Clustering Algorithms.mp44.81MB
  198. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/05. K-means Clustering.mp44.19MB
  199. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/06. Hierarchical Clustering.mp45.72MB
  200. 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
  201. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/08. Demo - Clustering Using Labeled Data.mp415.61MB
  202. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/09. Demo - Agglomerative Clustering.mp418.2MB
  203. B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/10. Summary and Further Study.mp42.1MB
  204. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.28MB
  205. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/1. Course Overview/2. Version Check.mp4550.5KB
  206. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/01. Module Overview.mp42.32MB
  207. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/02. Prerequisites and Course Outline.mp41.83MB
  208. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/03. The Classic Machine Learning Workflow.mp45.1MB
  209. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/04. New Realities of Deployed Models.mp410.38MB
  210. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/05. Overfitting.mp46.6MB
  211. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/06. Training-serving Skew.mp49.56MB
  212. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/07. Concept Drift.mp49.44MB
  213. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/08. Concerted Adversaries.mp43.66MB
  214. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/09. Deploying Machine Learning Models.mp43.74MB
  215. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/2. Understanding Factors that Impact Deployed Models/10. Module Summary.mp42.25MB
  216. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/01. Module Overview.mp41.77MB
  217. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/02. Serializing Model Parameters.mp45.04MB
  218. 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
  219. 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
  220. 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
  221. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/06. Demo - Serializing Pre-processors and Models.mp411.36MB
  222. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/07. Demo - Serializing Pipelines.mp44.03MB
  223. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/08. Using Flask for Model Deployment.mp43.19MB
  224. 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
  225. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/10. Module Summary.mp41.93MB
  226. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/1. Module Overview.mp42.14MB
  227. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/2. Event-driven Serverless Compute.mp47.53MB
  228. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/3. Demo - Serializing Classification Models.mp48.03MB
  229. 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
  230. 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
  231. 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
  232. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/7. Module Summary.mp41.86MB
  233. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/01. Module Overview.mp42.01MB
  234. 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
  235. 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
  236. 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
  237. 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
  238. 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
  239. 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
  240. 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
  241. 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
  242. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/10. Module Summary.mp42.05MB
  243. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/01. Module Overview.mp42.17MB
  244. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/02. Introducing Amazon SageMaker.mp43.68MB
  245. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/03. Training a Model on SageMaker.mp44.31MB
  246. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/04. Deploying a Model on SageMaker.mp45.65MB
  247. 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
  248. 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
  249. 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
  250. 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
  251. 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
  252. 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
  253. C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/11. Summary and Further Study.mp42.53MB
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