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  • Model Interpretation

Results for "model interpretation"


  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Developing the SIR Model

    Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    273 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, Data Modeling, R Programming, Differential Equations, Statistical Methods, Public Health, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation Capstone

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Science, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Regression Modeling for Marketers

    Skills you'll gain: Statistical Software, Marketing Analytics, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Advanced Analytics, Strategic Marketing, Market Analysis, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Customer Insights, Target Market, Statistical Hypothesis Testing, A/B Testing, Variance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Business Model Canvas

    Skills you'll gain: Target Market, Value Propositions, Cost Control, Customer Analysis, Business Modeling, Strategic Partnership, Marketing Channel, Entrepreneurship, Business Strategy, Resource Management, Revenue Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Advanced Models for Decision Making

    Skills you'll gain: Operations Research, Supply Chain, Workforce Management, Business Analytics, Applied Mathematics, Mathematical Modeling, Process Optimization, Manufacturing Operations, Operations Management, Workforce Planning, Financial Modeling, Business Analysis, Microsoft Excel, Resource Allocation, Finance, Analytics, Production Planning, Portfolio Management, Investment Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…8910…338

In summary, here are 10 of our most popular model interpretation courses

  • Developing the SIR Model: Imperial College London
  • Interventions and Calibration: Imperial College London
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Linear Regression Modeling for Health Data: University of Michigan
  • Data Analysis and Interpretation Capstone: Wesleyan University
  • Regression Modeling for Marketers: University of Colorado System
  • Business Model Canvas: Coursera
  • Neural Models and Machine Translation: Edureka
  • Interpretable machine learning applications: Part 5: Coursera

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