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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.


Popular Logistic Regression Courses and Certifications


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Software Quality Assurance and Testing

    Skills you'll gain: Test Automation, Performance Testing, Software Quality Assurance, Security Testing, Regression Testing, User Acceptance Testing (UAT), Maintainability, Development Testing, Continuous Delivery, Code Review, Scalability, Automation, DevOps, Software Design, Technical Communication, Test Execution Engine, Application Programming Interface (API), Integration Testing, Waterfall Methodology, Agile Methodology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    819 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

    Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Process Analysis, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Process Optimization, Quality Improvement, Risk Management, Quality Management, Statistical Analysis, Quality Control, Process Capability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Inclusive Analytic Techniques

    Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Statistical Methods, Regression Analysis, Research, Focus Group, Correlation Analysis, Diversity and Inclusion, Surveys, Business Analytics, Stakeholder Analysis, Probability, Stakeholder Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    80 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Unit Testing, Test Tools, System Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Functional Requirement, Application Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a la Minería de Datos

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Classification And Regression Tree (CART), Supervised Learning, Algorithms, Performance Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis, Performance Tuning

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

Searches related to logistic regression

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1…343536…53

In summary, here are 10 of our most popular logistic regression courses

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Software Quality Assurance and Testing: Board Infinity
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Foundational Mathematics for AI: Johns Hopkins University
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp
  • Foundations and Core Concepts of PyTorch: Packt
  • Inclusive Analytic Techniques: University of Toronto
  • Introduction to Automated Analysis: University of Minnesota
  • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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