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  • Roc Analysis Interpretation

Results for "roc analysis interpretation"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • 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

  • 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 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

  • C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

    Skills you'll gain: Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Software Quality Assurance, Data Science, Machine Learning, Cloud Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 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 Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Statistical Methods, Machine Learning Methods, Test Data, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Risk Analysis

    Skills you'll gain: Risk Analysis, Risk Management, Project Risk Management, Estimation, Analysis, Earned Value Management, Stakeholder Management, Root Cause Analysis, Agile Project Management, Project Performance, Simulation and Simulation Software, Prioritization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

1…8910…635

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

  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Data Analysis and Interpretation Capstone: Wesleyan University
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Interpretable machine learning applications: Part 5: Coursera
  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Machine Learning: Classification: University of Washington
  • Meaningful Predictive Modeling: University of California San Diego
  • Risk Analysis: LearnKartS
  • RStudio for Six Sigma - Hypothesis Testing: Coursera

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