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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


  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Lean Management and Six Sigma Green Belt Program

    Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Failure Mode And Effects Analysis, Kaizen Methodology, Process Optimization, Quality Improvement, Operational Efficiency, Process Improvement, Performance Measurement, Manufacturing Operations, Quality Management, Operational Excellence, Business Process, Statistical Analysis, Performance Metric, Waste Minimization, Kanban Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Specialization · 1 - 3 Months

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

    EDUCBA

    Data Science with Python: Analyze & Visualize

    Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Data Cleansing, Scatter Plots, Matplotlib, Scripting, Python Programming, NumPy, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Programming Principles, Regression Analysis

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Social Determinants of Health: Planetary Health

    Skills you'll gain: Social Determinants Of Health, Scatter Plots, Environmental Science, Data Analysis, Health Education, Health Equity, Environmental Issue, Regression Analysis, Systems Thinking, Public Health, Sustainable Development, Health Informatics, Community Organizing, Forecasting, Climate Change Adaptation, Data Visualization

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

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

    Beginner · Course · 3 - 6 Months

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

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
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    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Capstone Project: Advanced AI for Drug Discovery

    Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning

    2.1
    Rating, 2.1 out of 5 stars
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    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Advanced AI Techniques for the Supply Chain

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning

    3.2
    Rating, 3.2 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to logistic regression

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logistic regression in r for public health
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spss: apply & interpret logistic regression models
1…383940…53

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

  • Lean Management and Six Sigma Green Belt Program: Simplilearn
  • Data Science with Python: Analyze & Visualize: EDUCBA
  • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
  • Linear Algebra for Data Science Using Python: Howard University
  • Social Determinants of Health: Planetary Health: University of Minnesota
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Java in Machine Learning: Board Infinity
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • R Programming for Statistics and Data Science: Packt
  • Practical Machine Learning on H2O: H2O.ai

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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