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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


  • 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

  • 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

  • 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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    29 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Classification Algorithms, Decision Tree Learning, Machine Learning Algorithms, Exploratory Data Analysis, Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Model Evaluation

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Lean Six Sigma Green Belt Training

    Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Manufacturing, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • T

    Tecnológico de Monterrey

    Analizar e incrementar - Parte 1

    Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Advanced Business Analytics Capstone

    Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Business Analytics, Financial Analysis, Advanced Analytics, Data Preprocessing, Data Analysis, Technical Communication, Investment Management, Data Manipulation, Model Evaluation, Statistical Modeling, Regression Analysis, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Practical Machine Learning on H2O: H2O.ai
  • Statistics You Need to Know for Machine Learning: SAS
  • Software Quality Assurance and Testing: Board Infinity
  • Data Mining Methods: University of Colorado Boulder
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Lean Six Sigma Green Belt Training: Simplilearn
  • Analizar e incrementar - Parte 1: Tecnológico de Monterrey
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Foundational Mathematics for AI: Johns Hopkins University
  • Applied Data Analytics: Edureka

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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