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种子名称： Pluralsight Path. Building Statistical and Mathematical Models with R (2020)
文件类型： 视频
文件数目： 279个文件
文件大小： 2.41 GB
收录时间： 2023-1-4 16:59
已经下载： 3次
资源热度： 154
最近下载： 2024-5-9 20:37

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.75MB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/1. Version Check.mp4513.19KB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/2. Prerequisites and Course Outline.mp41.92MB

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

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/2. Understanding Statistical and Mathematical Models/5. Data and Metadata.mp49.06MB

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

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

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

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/3. Case Studies on Statistical and Mathematical Models/2. Interpreting Derivatives.mp47.54MB

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

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

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

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/1. Recap - Ordinary Differential Equations.mp43.23MB

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/3. Demo - Solving Differential Equations.mp411.14MB

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/5. The 8 Queens Problem.mp411.95MB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/4. Applying Mathematical Models in R/6. Local Search Optimization Techniques.mp49.39MB

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

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

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/2. Understanding Hypothesis Testing.mp49.01MB

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/4. Demo - Exploring the Automobile Dataset.mp411.41MB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/5. Demo - One Sample T-test.mp411.07MB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/6. Demo - One Sample Z-test.mp47.12MB

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/7. Demo - Two Sample T-test.mp411.99MB

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

A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/5. Applying Statistical Models in R/9. Summary and Further Study.mp42.13MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.54MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/1. Version Check.mp4490.75KB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/2. Prerequisites and Course Outline.mp44.46MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/3. Introducing Numerical Methods.mp46.07MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/4. Direct and Iterative Numerical Methods.mp48.19MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/5. Numerical Instability and Errors.mp46.94MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/6. Interpolation and Extrapolation.mp43.82MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/7. Constant, Linear, Polynomial, and Spline Interpolation.mp48.33MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/8. System of Linear Equations.mp45.32MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/2. Understanding Numerical Methods/9. Gaussian Elimination and Jacobi Method.mp410.72MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/1. Demo - Linear and Constant Interpolation.mp414.77MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/2. Demo - Linear and Polynomial Extrapolation.mp411.81MB

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

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

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/6. Demo - Discretizing Continuous Data.mp410.18MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/3. Applying Numerical Methods to Solve Problems/8. Demo - Approximating Derivate Calculations.mp49.9MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/01. Graphs and Graph Applications.mp47.82MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/02. Directed and Undirected Graphs.mp46.01MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/03. Connected and Unconnected Graphs.mp43.57MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/04. Graph Representations.mp49.95MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/05. Shortest Path Algorithms.mp49.33MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/06. Demo - Defining and Configuring Graphs.mp411.12MB

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

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/09. Demo - Calculating Shortest Distances.mp413.78MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/4. Working with Graphs Using Numerical Techniques/10. Demo - Calculating Shortest Paths.mp45.92MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/01. Solutions Approaches to N-Queens.mp412.37MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/02. Introducing Local Search Algorithms.mp48.19MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/03. Simulated Annealing and Threshold Accepting.mp45.78MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/05. Demo - 8 Queens - Generating Candidate Solutions.mp43.79MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/07. Objective Constraints and Decision Variables.mp411.43MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/08. Wyndor Glass - Framing the Optimization Problem.mp47.32MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/5. Implementing Local Search and Optimizations/10. Solving the Linear Programming Problem Graphically.mp44.44MB

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

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/01. Modeling Population Growth.mp46.21MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/02. Interpreting Derivatives.mp49.27MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/03. Verhulsts Equation for Population Growth.mp410.94MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/04. Understanding Integration.mp45.71MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/05. Demo - Calculating Derivatives.mp49.3MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/06. Demo - Calculating Velocity and Acceleration Using Derivatives.mp45.06MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/07. Demo - Performing Integration.mp410.33MB

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

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/09. Demo - Solving Verhulsts Equation.mp411.36MB

A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/6. Implementing Integration and Differentiation/10. Summary and Further Study.mp42.02MB

B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.76MB

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/01. Multi-state Models.mp414.33MB

B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/4. Implementing Multi-state Models in R/02. Survival Models.mp49.18MB

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

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

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

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

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

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

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

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

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

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

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.42MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/01. Version Check.mp4507.95KB

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

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/03. Introducing Differentiation.mp45.8MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/2. Getting Started with Differential Equations/04. Interpreting Derivatives.mp47.77MB

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

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

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

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

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

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

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

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/1. Ordinary Differential Equations.mp49.37MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/2. Differential Algebraic Equations.mp48.5MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/3. Partial Differential Equations.mp410.12MB

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

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/5. The Diffusion Equation.mp46.74MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/6. Delay Differential Equations.mp46.04MB

B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/3. Understanding Types of Differential Equations/7. Infectious Disease Modeling.mp49.34MB

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.65MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/2. Understanding the Importance of Reducing Complexity in Data/01. Version Check.mp4487.26KB

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

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

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

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

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

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

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

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

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

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/1. Principal Components Analysis.mp412.02MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/2. Partial Least Squares Regression.mp48.22MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/3. Demo - Performing Principal Component Analysis.mp415.1MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/4. Demo - Regression Using Principal Components.mp411.38MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/5. Demo - Principal Components Regression.mp411.07MB

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/3. Performing Dimensional Analysis for Continuous Data/6. Demo - Partial Least Squares Regression.mp47.95MB

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

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

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

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

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/1. Manifold Learning.mp414.73MB

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

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

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

B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/5. Performing Dimensional Analysis for Non-linear Data/5. Module Summary.mp42.87MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/1. Course Overview/1. Course Overview.mp44.41MB

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

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/3. Understanding Operations on Matrices/1. Understanding Operations on Matrices.mp410.89MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/4. Getting Weird - Inverting, Transposing, and Row Equivalence/1. Getting Weird.mp423.39MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/5. Solving Linear Equations/1. Solving Linear Equations.mp416.37MB

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

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

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/7. Calculating the kth Item in a Series/2. Difference Equations.mp49.84MB

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

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/8. Implementing Matrix Decomposition/1. Implementing Matrix Decomposition.mp410.36MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/8. Implementing Matrix Decomposition/2. Demo - Implementing Matrix Decomposition.mp430.85MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/9. Using Least Squares Calculations/1. Using Least Squares Calculations.mp47.45MB

B4. Applying Linear Algebra with R (Brandon Strain, 2020)/9. Using Least Squares Calculations/2. Demo - Using Least Squares Calculations.mp416.09MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.59MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/01. Version Check.mp4487.91KB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/02. Prerequisites and Course Outline.mp42.63MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/03. The Role of Statistics in Understanding Data.mp44.95MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/04. Hypothesis Testing.mp411.95MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/05. P-values, Power, and Alpha of Statistical Tests.mp43.76MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/06. Introducing the T-test.mp45.23MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/07. The T-test for Different Use Cases.mp47.64MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/08. The Z-test.mp44MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/09. One-way ANOVA - Assumptions and Alternatives.mp49.37MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/10. Two-way ANOVA and Assumptions.mp43.33MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/2. Understanding Statistical Summaries/11. Pearsons Chi2 Test.mp45.91MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/1. Demo - Preprocessing Data.mp49.73MB

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/3. Demo - Two Sample T-test.mp414.45MB

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/5. Demo - Performing Chi2 Analysis.mp410.88MB

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/7. Demo - One-way ANOVA.mp412.98MB

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/3. Solving Problems Using Statistical Inference/9. Demo - Two-way ANOVA.mp414.95MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/1. Continuous and Categorical Data.mp43.98MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/2. Linear Regression.mp47.95MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/3. Demo - Exploring Data for Regression Analysis.mp49.05MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/4. Demo - Performing Linear Regression and Interpretings Results.mp414.87MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/5. Logistic Regression.mp48.13MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/6. Odds Ratio and the Forest Plot.mp43.06MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/4. Implementing Statistical Models/7. Demo - Performing Logistic Regression.mp49.58MB

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/01. Introducing AB Testing.mp48.28MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/02. Distributions and Statistical Tests.mp412.13MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/03. Bayes Theorem Intuition.mp45.27MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/04. Frequentist Approach vs. Bayesian Approach.mp46.84MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/05. The Conjugate Prior.mp48.44MB

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/06. Understanding the Bayesian AB Test.mp48.31MB

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

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

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

C1. Building Statistical Summaries with R (Janani Ravi, 2019)/5. Implementing Bayesian AB Testing/10. Summary and Further Study.mp42.29MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp43.61MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/01. Version Check.mp4486.93KB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/02. Prerequisites and Course Outline.mp43.98MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/03. Sample Statistics and Confidence Intervals.mp48.83MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/04. Normally Distributed Data - Estimating Mean.mp413.11MB

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

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

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

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

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

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/10. Drawbacks of Conventional Approaches.mp45.44MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/11. Introducing Bootstrapping.mp412.3MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/2. Getting Started with Bootstrapping in R/12. Bootstrapped Confidence Intervals.mp413.57MB

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

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

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

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/4. Demo - Bootstrapping Multiple Statistics.mp413.95MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/5. Introducing the Bayesian Bootstrap.mp48.92MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/6. Bayesian Bootstrap Algorithm.mp45.18MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/7. Demo - Performing Bayesian Bootstrapping.mp412.83MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/8. Introducing the Smoothed Bootstrap.mp44.49MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/3. Implementing Bootstrap Methods for Summary Statistics/9. Demo - Smoothed Bootstrap.mp47.54MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/1. Introducing Linear Regression.mp42.73MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/2. Regression Metrics and Bootstrapping.mp48.19MB

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/3. Case Resampling and Residual Resampling.mp46.53MB

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

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/5. Demo - Estimating Coefficients Using Bootstrapping.mp412.48MB

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

C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/4. Implementing Bootstrap Methods for Regression Models/7. Summary and Further Study.mp42.57MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/1. Course Overview/1. Course Overview.mp43.26MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/1. Introduction to Monte Carlo.mp45.73MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/2. MC Basics in R.mp412.87MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/3. Rolling the Dice.mp411.62MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/2. Understanding Monte Carlo Basics/4. Estimating Pi.mp48.9MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/1. Introduction.mp41.98MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/2. Random Walk.mp410.28MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/3. Simulating Random Walk with MC.mp418.71MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/4. Point Estimates and Confidence Intervals.mp421.04MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/5. Predictions on Commodities Data.mp422.91MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/3. Making Predictions with Monte Carlo/6. Conclusion.mp41.24MB

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

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/2. Data Preparation.mp411.25MB

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

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/4. Using Monte Carlo for Value at Risk/4. Monte Carlo VaR.mp414.14MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/1. Introduction to AB Testing.mp43.47MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/2. Two Sample t-test.mp49.38MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/3. Chi-squared Test.mp48.1MB

C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/5. Utilizing MC for AB Testing/4. AB Testing with Monte Carlo.mp413.14MB

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