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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.


More to explore:

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    UniversitĆ  di Napoli Federico II

    Machine Learning e Data MiningĀ in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    Ā·
    10 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    ISTQB Technical Test Analyst Preparation

    Skills you'll gain: White-Box Testing, Performance Testing, Maintainability, Test Tools, Software Testing, Code Review, Test Automation, Software Technical Review, Test Planning, Scripting, Risk Analysis, Software Quality Assurance, Test Script Development, Continuous Integration, CI/CD, Regression Testing, Code Coverage, Test Case, Quality Assurance, Security Testing

    3.8
    Rating, 3.8 out of 5 stars
    Ā·
    14 reviews

    Advanced Ā· Specialization Ā· 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 ėŸ¬ė‹: ķšŒź·€ ėŖØėø

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

    Mixed Ā· Course Ā· 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation

    Beginner Ā· Course Ā· 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate Ā· Guided Project Ā· Less Than 2 Hours

  • Status: Preview
    Preview
    U

    UniversitĆ  di Napoli Federico II

    Comparative Research Designs and Methods

    Skills you'll gain: Research Methodologies, Qualitative Research, Research Design, Social Sciences, Case Studies, Statistical Analysis, Systems Thinking, Computational Logic, Regression Analysis, Political Sciences

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    10 reviews

    Beginner Ā· Course Ā· 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Regression Analysis

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • P

    Packt

    How to Visualize Data with R

    Skills you'll gain: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Data Collection, Data Analysis, Data Manipulation, Data Import/Export, Regression Analysis, Data Preprocessing, Software Installation

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner Ā· Course Ā· 1 - 3 Months

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    Ā·
    10 reviews

    Beginner Ā· Guided Project Ā· Less Than 2 Hours

  • G

    Google Cloud

    Predict Visitor Purchases with a Classification Model in BQML

    Skills you'll gain: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms

    Intermediate Ā· Project Ā· Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner Ā· Course Ā· 3 - 6 Months

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

  • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
  • ISTQB Technical Test Analyst Preparation:Ā Board Infinity
  • 머신 ėŸ¬ė‹: ķšŒź·€ ėŖØėø:Ā University of Washington
  • Python Fundamentals and Data Science Essentials:Ā Packt
  • Tidymodels in R: Building tidy machine learning models:Ā Coursera
  • Comparative Research Designs and Methods:Ā UniversitĆ  di Napoli Federico II
  • Honors Algebra 2: Linear and Quadratic Functions:Ā Johns Hopkins University
  • How to Visualize Data with R:Ā Packt
  • Basic Principles of Geostatistical Geospatial Modeling:Ā Case Western Reserve University
  • Diabetes Disease Detection with XG-Boost and Neural Networks:Ā Coursera

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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