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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
    B

    Board Infinity

    Software Quality Assurance and Testing

    Skills you'll gain: Test Automation, Performance Testing, Software Quality Assurance, White-Box Testing, API Testing, Test Script Development, Debugging, Software Development Methodologies, User Acceptance Testing (UAT), JUnit, Maintainability, Development Testing, Selenium (Software), Scalability, Automation, Software Technical Review, DevOps, Regression Testing, Test Execution Engine, Security Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • 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, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, R (Software), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Learn Generative AI with LLMs

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    64 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Pillar #3: Drug Effectiveness - Real-World Evidence

    Skills you'll gain: Clinical Research, Clinical Trials, Pharmacology, Data Collection, Epidemiology, Scientific Methods, Statistical Methods, Analytical Skills, Regression Analysis, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Regression Analysis, Data Preprocessing, Machine Learning, Supervised Learning, Feature Engineering, Performance Tuning, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Analyze Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to logistic regression

logistic regression with numpy and python
logistic regression in r for public health
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1…373839…60

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

  • Software Quality Assurance and Testing: Board Infinity
  • Machine Learning and NLP Basics: Edureka
  • Statistics You Need to Know for Machine Learning: SAS
  • Foundational Mathematics for AI: Johns Hopkins University
  • Bayesian Computational Statistics: Illinois Tech
  • Practical Machine Learning on H2O: H2O.ai
  • Learn Generative AI with LLMs: Edureka
  • Pillar #3: Drug Effectiveness - Real-World Evidence: Johns Hopkins University
  • Train Machine Learning Models: CertNexus
  • Precalculus: Mathematical Modeling: Johns Hopkins University

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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