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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


  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Cloud Run Canary Deployments

    Skills you'll gain: Continuous Deployment, Application Deployment, CI/CD, Release Management, Cloud Deployment, Regression Testing, Google Cloud Platform, Load Balancing, Application Development, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Static & Dynamic Analysis for Technical Testing

    Skills you'll gain: Performance Testing, Maintainability, Software Testing, Code Review, Security Testing, Test Planning, Software Quality Assurance, Test Tools, White-Box Testing, Regression Testing

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fundação Instituto de Administração

    Construção de Relacionamentos em Vendas Orientada a Dados

    Skills you'll gain: Sales Strategy, Sales, Customer Analysis, AI Personalization, Regression Analysis, Product Knowledge, Data Analysis, Predictive Analytics, Statistical Analysis, Business Metrics, Machine Learning Methods, Machine Learning, Classification Algorithms

    Beginner · Course · 1 - 4 Weeks

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Automation Frameworks and Continuous Integration

    Skills you'll gain: GitHub, Jenkins, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Test Automation, JUnit, Test Data, Unit Testing, Test Case, Software Testing, Regression Testing, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining 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
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Automation Frameworks and Testing with TestNG

    Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Test Script Development, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation

    Intermediate · Course · 3 - 6 Months

1…464748…52

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

  • Compare Models with Experiments in Azure ML Studio: Coursera
  • Cloud Run Canary Deployments: Google Cloud
  • Static & Dynamic Analysis for Technical Testing: Board Infinity
  • Construção de Relacionamentos em Vendas Orientada a Dados: Fundação Instituto de Administração
  • Applied Data Science: Clemson University
  • Advanced Automation Frameworks and Continuous Integration: Packt
  • Data Visualization and Modeling in Python: Duke University
  • Natural Language Processing - Probability Models in Python: Packt
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt

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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