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Pluralsight Path. Building Statistical and Mathematical Models with R (2020)

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Pluralsight Path Building Statistical and Mathematical Models with R 2020

文件列表
  1. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.75MB
  2. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/1. Version Check.mp4513.19KB
  3. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/2. Prerequisites and Course Outline.mp41.92MB
  4. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/3. Understanding Mathematical Models and Statistical Models.mp412.2MB
  5. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/4. Mathematical Models and Statistical Models - Differences and Applicati.mp49.39MB
  6. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/5. Data and Metadata.mp49.06MB
  7. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/6. Demo - Creating an Environment to Run the R Kernel on Jupyter Notebook.mp46.75MB
  8. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/7. Demo - Associating Metadata Using the Comment Function.mp43.85MB
  9. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/8. Demo - Querying and Setting Metadata Using the Meta Function.mp413.97MB
  10. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/1. Modeling Population Growth Using ODEs.mp45.49MB
  11. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/2. Interpreting Derivatives.mp47.54MB
  12. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/3. Verhulsts Decreasing Growth Model.mp46.56MB
  13. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/4. Modeling Value at Risk - A Simplistic Model.mp48.45MB
  14. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/5. Understanding Monte Carlo Simulations.mp46.29MB
  15. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/6. Using Monte Carlo Simulations to Model Value at Risk.mp47.83MB
  16. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/1. Recap - Ordinary Differential Equations.mp43.23MB
  17. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/2. Demo - Calculating the Derivative of a Function.mp49.34MB
  18. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/3. Demo - Solving Differential Equations.mp411.14MB
  19. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/4. Demo - Solving Verhulsts Equation for Population Growth.mp410.16MB
  20. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/5. The 8 Queens Problem.mp411.95MB
  21. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/6. Local Search Optimization Techniques.mp49.39MB
  22. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/7. Demo - Setting up Helper Functions to Solve the 8 Queens Optimization Prob.mp416.19MB
  23. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/8. Demo - Applying Local Search Optimization to Solve the Eight Queens Proble.mp411.51MB
  24. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/1. Data Mining Statistics and Machine Learning.mp46.7MB
  25. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/2. Understanding Hypothesis Testing.mp49.01MB
  26. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/3. The T-test and the Z-test.mp48.73MB
  27. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/4. Demo - Exploring the Automobile Dataset.mp411.41MB
  28. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/5. Demo - One Sample T-test.mp411.07MB
  29. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/6. Demo - One Sample Z-test.mp47.12MB
  30. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/7. Demo - Two Sample T-test.mp411.99MB
  31. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/8. Demo - Paired Sample T-test and Z-test.mp49.56MB
  32. A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/9. Summary and Further Study.mp42.13MB
  33. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.54MB
  34. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/1. Version Check.mp4490.75KB
  35. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/2. Prerequisites and Course Outline.mp44.46MB
  36. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/3. Introducing Numerical Methods.mp46.07MB
  37. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/4. Direct and Iterative Numerical Methods.mp48.19MB
  38. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/5. Numerical Instability and Errors.mp46.94MB
  39. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/6. Interpolation and Extrapolation.mp43.82MB
  40. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/7. Constant, Linear, Polynomial, and Spline Interpolation.mp48.33MB
  41. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/8. System of Linear Equations.mp45.32MB
  42. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/9. Gaussian Elimination and Jacobi Method.mp410.72MB
  43. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/1. Demo - Linear and Constant Interpolation.mp414.77MB
  44. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/2. Demo - Linear and Polynomial Extrapolation.mp411.81MB
  45. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/3. Demo - Interpolation Using Spline and Smoothing Techniques.mp44.8MB
  46. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/4. Demo - Iterative Techniques - Jacobi Method to Solve Linear Equations.mp410.76MB
  47. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/5. Demo - Direct Techniques - Gaussian Elimination to Solve Linear Equations.mp45.86MB
  48. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/6. Demo - Discretizing Continuous Data.mp410.18MB
  49. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/7. Demo - Rounding Errors and Approximation Errors.mp49.01MB
  50. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/8. Demo - Approximating Derivate Calculations.mp49.9MB
  51. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/9. Demo - Eulers Method and Numerical Instability.mp418.57MB
  52. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/01. Graphs and Graph Applications.mp47.82MB
  53. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/02. Directed and Undirected Graphs.mp46.01MB
  54. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/03. Connected and Unconnected Graphs.mp43.57MB
  55. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/04. Graph Representations.mp49.95MB
  56. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/05. Shortest Path Algorithms.mp49.33MB
  57. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/06. Demo - Defining and Configuring Graphs.mp411.12MB
  58. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/07. Demo - Specifying Attributes for Edges and Vertices.mp47.5MB
  59. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/08. Demo - Exploring Different Kinds of Graphs.mp48.61MB
  60. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/09. Demo - Calculating Shortest Distances.mp413.78MB
  61. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/10. Demo - Calculating Shortest Paths.mp45.92MB
  62. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/01. Solutions Approaches to N-Queens.mp412.37MB
  63. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/02. Introducing Local Search Algorithms.mp48.19MB
  64. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/03. Simulated Annealing and Threshold Accepting.mp45.78MB
  65. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/04. Demo - 8 Queens - Calculating Number of Attacks.mp419.12MB
  66. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/05. Demo - 8 Queens - Generating Candidate Solutions.mp43.79MB
  67. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/06. Demo - 8 Queens - Solution Using Local Search Techniques.mp410.16MB
  68. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/07. Objective Constraints and Decision Variables.mp411.43MB
  69. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/08. Wyndor Glass - Framing the Optimization Problem.mp47.32MB
  70. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/09. Setting up the Optimization as a Linear Programming Problem.mp44.07MB
  71. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/10. Solving the Linear Programming Problem Graphically.mp44.44MB
  72. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/11. Demo - Solving Optimization Problems Using Linear Programming.mp48.23MB
  73. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/12. Demo - Linear Programming to Solve the Wyndor Glass Problem.mp45.64MB
  74. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/01. Modeling Population Growth.mp46.21MB
  75. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/02. Interpreting Derivatives.mp49.27MB
  76. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/03. Verhulsts Equation for Population Growth.mp410.94MB
  77. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/04. Understanding Integration.mp45.71MB
  78. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/05. Demo - Calculating Derivatives.mp49.3MB
  79. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/06. Demo - Calculating Velocity and Acceleration Using Derivatives.mp45.06MB
  80. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/07. Demo - Performing Integration.mp410.33MB
  81. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/08. Demo - Using the ODE Solver to Solve Differential Equations.mp411.62MB
  82. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/09. Demo - Solving Verhulsts Equation.mp411.36MB
  83. A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/10. Summary and Further Study.mp42.02MB
  84. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.76MB
  85. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/01. Version Check.mp4502.51KB
  86. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/02. Prerequisites and Course Outline.mp43.83MB
  87. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/03. Introducing the MASS Package.mp42.47MB
  88. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/04. Qualitative and Quantitative Data.mp44.58MB
  89. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/05. Hypothesis Testing Using t-tests.mp410.01MB
  90. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/06. Hypothesis Testing Using ANOVA.mp44.41MB
  91. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/07. Demo - Integrating with the MASS Package.mp47.43MB
  92. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/08. Demo - Quantitative and Qualitative Analysis of Bi.mp416.49MB
  93. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/09. Demo - Running t-tests on Birthweight Data.mp47.91MB
  94. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/10. Demo - Quantitative and Qualitative Analysis of Ca.mp47.61MB
  95. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/11. Demo - Executing ANOVA Analysis on Cars Data.mp48.25MB
  96. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/12. Demo - Paired Sample t-test on Anorexia Data.mp46.38MB
  97. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/1. Principal Component Analysis - Intuition.mp48.19MB
  98. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/2. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp45.88MB
  99. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/3. Fitting Robust Linear Models.mp46.59MB
  100. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/4. Demo - Linear Discriminant Analysis (LDA) and Visualization.mp419.49MB
  101. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/5. Demo - LDA Using All Column Values.mp46.65MB
  102. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/6. Demo - Quadratic Discriminant Analysis.mp44.97MB
  103. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/7. Demo - Fitting a Robust Linear Model.mp415.18MB
  104. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/3. Performing Predictive Analytics Using MASS Models/8. Demo - Robust Regression Using the Boston Housing Dataset.mp419.41MB
  105. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/01. Multi-state Models.mp414.33MB
  106. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/02. Survival Models.mp49.18MB
  107. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/03. Types of State Models.mp45.62MB
  108. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/04. Understanding Weibull Distributions to Model State Transitions.mp43.92MB
  109. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/05. Examples of Multi-state Models.mp44.2MB
  110. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/06. The Kaplan-Meier Estimator and the Log Rank Test.mp43.52MB
  111. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/07. Demo - Understanding the Multi-state Model Data.mp415.2MB
  112. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/08. Demo - Modeling Transition Probabilities and Simulating Outcomes.mp415.17MB
  113. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/09. Demo - Visualizing and Interpreting State Occupancy Probabilities.mp416.45MB
  114. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/10. Demo - Modeling Survival Analysis.mp411.36MB
  115. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/11. Demo - Log Rank Tests and the Proportional Hazards Model.mp47.63MB
  116. B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/12. Summary and Further Study.mp42.09MB
  117. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.42MB
  118. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/01. Version Check.mp4507.95KB
  119. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/02. Prerequisites and Course Outline.mp43.86MB
  120. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/03. Introducing Differentiation.mp45.8MB
  121. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/04. Interpreting Derivatives.mp47.77MB
  122. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/05. Verhulsts Equation of Population Growth.mp410.69MB
  123. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/06. Introducing Integration to Solve Differential Equations.mp45.06MB
  124. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/07. Types of Differential Equations.mp44.42MB
  125. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/08. Initial and Boundary Value Problems.mp44.8MB
  126. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/09. Analytical and Numerical Solvers.mp47.29MB
  127. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/10. Modeling Technology Adoption Using an S-curve.mp47.03MB
  128. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/11. Modeling Financial Assets Using PDEs.mp412.03MB
  129. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/1. Ordinary Differential Equations.mp49.37MB
  130. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/2. Differential Algebraic Equations.mp48.5MB
  131. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/3. Partial Differential Equations.mp410.12MB
  132. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/4. Solving Partial Differential Equations.mp43.84MB
  133. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/5. The Diffusion Equation.mp46.74MB
  134. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/6. Delay Differential Equations.mp46.04MB
  135. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/7. Infectious Disease Modeling.mp49.34MB
  136. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/1. Demo - Solving ODEs - The Population Growth Model.mp411.68MB
  137. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/2. Demo - Solving ODEs - Van Der Pols Equation.mp410.36MB
  138. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/3. Demo - Solving ODEs - Chaotic Solutions to Lorenzs Equation.mp47.83MB
  139. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/4. Demo - Solving DAEs - An Auto-catalytic Chemical Reaction.mp414.04MB
  140. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/5. Demo - Solving DAEs - The Pendulum Equation.mp44.44MB
  141. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/6. Demo - Solving PDEs - The Diffusion Equation for Heat Transfer.mp412.91MB
  142. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/4. Solving Differential Equations/7. Demo - Solving DDEs - Infectious Disease Modeling.mp412.16MB
  143. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/01. Framing the Optimization Problem.mp46.62MB
  144. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/02. Forward Models and Inverse Models.mp44.46MB
  145. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/03. The Wyndor Glass Case Study.mp47.36MB
  146. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/04. Primal and Dual Problems.mp46.95MB
  147. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/05. Underdetermined and Overdetermined Systems.mp48.7MB
  148. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/06. Demo - Solving Even Determined Systems.mp45.99MB
  149. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/07. Demo - Solving Overdetermined Systems.mp46.48MB
  150. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/08. Demo - Solving Underdetermined Systems.mp46.78MB
  151. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/09. Demo - Applying Linear Inverse Models.mp47.88MB
  152. B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/5. Understanding and Applying Linear Inverse Models/10. Summary and Further Study.mp42.06MB
  153. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.65MB
  154. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/01. Version Check.mp4487.26KB
  155. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/02. Prerequisites and Course Outline.mp43.97MB
  156. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/03. The Curse of Dimensionality.mp411.82MB
  157. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/04. Drawbacks of Dimensionality Reduction.mp43.08MB
  158. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/05. Overfitting and the Bias-variance Trade-off.mp411.82MB
  159. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/06. Techniques to Reduce Complexity.mp47.28MB
  160. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/07. Choosing the Right Technique.mp47.67MB
  161. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/08. Demo - Exploring the Boston Housing Dataset.mp415.59MB
  162. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/09. Demo - Selecting Predictors to Build Regression Models.mp48.58MB
  163. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/10. Demo - Performing Stepwise and Kitchen Sink Regression.mp414.28MB
  164. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/1. Principal Components Analysis.mp412.02MB
  165. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/2. Partial Least Squares Regression.mp48.22MB
  166. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/3. Demo - Performing Principal Component Analysis.mp415.1MB
  167. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/4. Demo - Regression Using Principal Components.mp411.38MB
  168. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/5. Demo - Principal Components Regression.mp411.07MB
  169. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/6. Demo - Partial Least Squares Regression.mp47.95MB
  170. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/4. Performing Dimensional Analysis for Categorical Data/1. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp412.21MB
  171. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/4. Performing Dimensional Analysis for Categorical Data/2. Demo - Exploring and Preparing Data for Linear Discriminant Analysis.mp413.86MB
  172. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/4. Performing Dimensional Analysis for Categorical Data/3. Demo - Performing Linear Discriminant Analysis on Glass Data.mp416.55MB
  173. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/4. Performing Dimensional Analysis for Categorical Data/4. Demo - Performing Quadratic Discriminant Analysis on Glass Data.mp46.38MB
  174. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/1. Manifold Learning.mp414.73MB
  175. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/2. Demo - Manifold Learning Using Metric and Non-metric MDS.mp420.05MB
  176. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/3. Demo - Manifold Learning Using t-SNE, Isomap, and LLE.mp416.69MB
  177. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/4. Demo - Kernel PCA for Non-linearly Separable Data.mp49.95MB
  178. B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/5. Module Summary.mp42.87MB
  179. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/1. Course Overview/1. Course Overview.mp44.41MB
  180. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/2. Working with Vectors and Matrices in R/1. Working with Vectors and Matrices in R.mp419.33MB
  181. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/3. Understanding Operations on Matrices/1. Understanding Operations on Matrices.mp410.89MB
  182. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/4. Getting Weird - Inverting, Transposing, and Row Equivalence/1. Getting Weird.mp423.39MB
  183. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/5. Solving Linear Equations/1. Solving Linear Equations.mp416.37MB
  184. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/6. Understanding and Calculating Eigenvalues and Eigenvectors/1. Understanding and Calculating Eigenvalues and Eigenvectors.mp414.99MB
  185. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/7. Calculating the kth Item in a Series/1. Calculating the kth Item in a Series.mp4784.86KB
  186. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/7. Calculating the kth Item in a Series/2. Difference Equations.mp49.84MB
  187. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/7. Calculating the kth Item in a Series/3. Demo - Calculating the kth Item in a Series.mp420.07MB
  188. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/8. Implementing Matrix Decomposition/1. Implementing Matrix Decomposition.mp410.36MB
  189. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/8. Implementing Matrix Decomposition/2. Demo - Implementing Matrix Decomposition.mp430.85MB
  190. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/9. Using Least Squares Calculations/1. Using Least Squares Calculations.mp47.45MB
  191. B4. Applying Linear Algebra with R (Brandon Strain, 2020)/9. Using Least Squares Calculations/2. Demo - Using Least Squares Calculations.mp416.09MB
  192. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.59MB
  193. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/01. Version Check.mp4487.91KB
  194. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/02. Prerequisites and Course Outline.mp42.63MB
  195. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/03. The Role of Statistics in Understanding Data.mp44.95MB
  196. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/04. Hypothesis Testing.mp411.95MB
  197. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/05. P-values, Power, and Alpha of Statistical Tests.mp43.76MB
  198. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/06. Introducing the T-test.mp45.23MB
  199. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/07. The T-test for Different Use Cases.mp47.64MB
  200. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/08. The Z-test.mp44MB
  201. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/09. One-way ANOVA - Assumptions and Alternatives.mp49.37MB
  202. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/10. Two-way ANOVA and Assumptions.mp43.33MB
  203. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/11. Pearsons Chi2 Test.mp45.91MB
  204. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/1. Demo - Preprocessing Data.mp49.73MB
  205. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/2. Demo - One Sample T-test and Z-test.mp411.42MB
  206. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/3. Demo - Two Sample T-test.mp414.45MB
  207. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/4. Demo - Type I and Type II Errors.mp412.56MB
  208. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/5. Demo - Performing Chi2 Analysis.mp410.88MB
  209. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/6. Demo - Interpreting the Results of Chi2 Analysis.mp411.22MB
  210. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/7. Demo - One-way ANOVA.mp412.98MB
  211. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/8. Demo - Assumptions of One-way ANOVA and Alternatives.mp46.35MB
  212. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/9. Demo - Two-way ANOVA.mp414.95MB
  213. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/1. Continuous and Categorical Data.mp43.98MB
  214. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/2. Linear Regression.mp47.95MB
  215. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/3. Demo - Exploring Data for Regression Analysis.mp49.05MB
  216. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/4. Demo - Performing Linear Regression and Interpretings Results.mp414.87MB
  217. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/5. Logistic Regression.mp48.13MB
  218. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/6. Odds Ratio and the Forest Plot.mp43.06MB
  219. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/7. Demo - Performing Logistic Regression.mp49.58MB
  220. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/8. Demo - Accuracy, Sensitivity, and Specificity of the Logistic Regression Model.mp415.14MB
  221. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/01. Introducing AB Testing.mp48.28MB
  222. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/02. Distributions and Statistical Tests.mp412.13MB
  223. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/03. Bayes Theorem Intuition.mp45.27MB
  224. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/04. Frequentist Approach vs. Bayesian Approach.mp46.84MB
  225. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/05. The Conjugate Prior.mp48.44MB
  226. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/06. Understanding the Bayesian AB Test.mp48.31MB
  227. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/07. Demo - Modelling Outcomes and Priors for the Bayes AB Test.mp415.06MB
  228. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/08. Demo - Performing and Interpreting the Bayesian AB Test for Click-through Rates.mp48.1MB
  229. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/09. Demo - Performing and Interpreting the Bayesian AB Test for Page Interactions.mp45.42MB
  230. C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/10. Summary and Further Study.mp42.29MB
  231. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.61MB
  232. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/01. Version Check.mp4486.93KB
  233. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/02. Prerequisites and Course Outline.mp43.98MB
  234. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/03. Sample Statistics and Confidence Intervals.mp48.83MB
  235. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/04. Normally Distributed Data - Estimating Mean.mp413.11MB
  236. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/05. Normally Distributed Data - Calculating Confidence Intervals.mp45.84MB
  237. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/06. Data with Any Distribution - Estimating Mean and Confidence Intervals.mp411.12MB
  238. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/07. Implications of the Central Limit Theorem.mp44.8MB
  239. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/08. Demo - The Central Limit Theorem with Different Distributions.mp413.9MB
  240. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/09. Demo - The Central Limit Theorem on Real Data.mp410.01MB
  241. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/10. Drawbacks of Conventional Approaches.mp45.44MB
  242. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/11. Introducing Bootstrapping.mp412.3MB
  243. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/12. Bootstrapped Confidence Intervals.mp413.57MB
  244. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/1. Demo - Bootstrap Statistics and Sample Statistics.mp418.9MB
  245. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/2. Demo - Performing Bootstrapping on Real Data.mp419.15MB
  246. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/3. Demo - Performing Bootstrapping Using the Boot Method.mp48.7MB
  247. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/4. Demo - Bootstrapping Multiple Statistics.mp413.95MB
  248. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/5. Introducing the Bayesian Bootstrap.mp48.92MB
  249. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/6. Bayesian Bootstrap Algorithm.mp45.18MB
  250. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/7. Demo - Performing Bayesian Bootstrapping.mp412.83MB
  251. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/8. Introducing the Smoothed Bootstrap.mp44.49MB
  252. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/9. Demo - Smoothed Bootstrap.mp47.54MB
  253. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/1. Introducing Linear Regression.mp42.73MB
  254. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/2. Regression Metrics and Bootstrapping.mp48.19MB
  255. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/3. Case Resampling and Residual Resampling.mp46.53MB
  256. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/4. Demo - Estimating R2 of Regression Models Using Bootstrapping.mp411.89MB
  257. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/5. Demo - Estimating Coefficients Using Bootstrapping.mp412.48MB
  258. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/6. Demo - Case Resampling and Residual Resampling Using the Boot() Method.mp410.64MB
  259. C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/7. Summary and Further Study.mp42.57MB
  260. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/1. Course Overview/1. Course Overview.mp43.26MB
  261. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/1. Introduction to Monte Carlo.mp45.73MB
  262. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/2. MC Basics in R.mp412.87MB
  263. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/3. Rolling the Dice.mp411.62MB
  264. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/4. Estimating Pi.mp48.9MB
  265. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/1. Introduction.mp41.98MB
  266. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/2. Random Walk.mp410.28MB
  267. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/3. Simulating Random Walk with MC.mp418.71MB
  268. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/4. Point Estimates and Confidence Intervals.mp421.04MB
  269. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/5. Predictions on Commodities Data.mp422.91MB
  270. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/6. Conclusion.mp41.24MB
  271. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/1. Introduction to Value at Risk.mp45.27MB
  272. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/2. Data Preparation.mp411.25MB
  273. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/3. Parametric and Historical VaR.mp414.23MB
  274. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/4. Monte Carlo VaR.mp414.14MB
  275. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/1. Introduction to AB Testing.mp43.47MB
  276. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/2. Two Sample t-test.mp49.38MB
  277. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/3. Chi-squared Test.mp48.1MB
  278. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/4. AB Testing with Monte Carlo.mp413.14MB
  279. C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/5. Inserting a Prior into the Simulations.mp47.3MB
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