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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

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Data Management, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Model Training, AI Enablement, Decision Intelligence, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, AI Product Strategy, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI & Python Development Megaclass

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning

    Beginner · Specialization · 3 - 6 Months

  • 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, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Model Training, Statistical Machine Learning, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Machine Learning Algorithms, Model Optimization, Predictive Analytics, Applied Machine Learning, Feature Engineering, Model Deployment, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Model Optimization, Asset Management, Statistical Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms

    Beginner · Specialization · 3 - 6 Months

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

    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing

    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 Wrangling, Plot (Graphics), Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Data Mining, Data-Driven Decision-Making

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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

  • Java in Machine Learning: Board Infinity
  • Python Fundamentals and Data Science Essentials: Packt
  • AI for Executives: The Basics: Khalifa University
  • AI & Python Development Megaclass: Packt
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • 머신 러닝: 회귀 모델: University of Washington
  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Machine Learning and its Applications: University of Glasgow
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • R Ultimate 2024 - R for Data Science and Machine Learning: 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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