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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

    Università di Napoli Federico II

    Asset Pricing Models

    Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Finance, Fixed Asset, Derivatives, Capital Markets, Statistical Methods, Financial Modeling, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • 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: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    Fundamentals of Test Case Design

    Skills you'll gain: Test Case, Test Script Development, Test Planning, Test Automation, Test Engineering, Acceptance Testing, Test Tools, White-Box Testing, CI/CD, Software Quality Assurance, Test Data, Regression Testing, Quality Assurance

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • 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: Preview
    Preview
    O

    O.P. Jindal Global University

    Artificial Intelligence

    Skills you'll gain: Machine Learning Algorithms, Classification Algorithms, AI Enablement, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Business Strategy, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 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
    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 · Course · 1 - 3 Months

1…454647…52

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

  • Asset Pricing Models: Università di Napoli Federico II
  • Applied Data Science: Clemson University
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Machine Learning in Retail: Coursera
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Statistics for Data Science with Python: EDUCBA
  • Fundamentals of Test Case Design: Board Infinity
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Advanced Machine Learning and Deep Learning: Packt
  • Artificial Intelligence: O.P. Jindal Global 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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