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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: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, AI Personalization, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Model Training, Predictive Modeling, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Python Programming, Data Mining, Artificial Neural Networks

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
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    E

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Predict Visitor Purchases with a Classification Model in BQML

    Skills you'll gain: Model Evaluation, Customer Analysis, Model Training, Logistic Regression, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, E-Commerce, Big Data, Data Access, Applied Machine Learning, Data Analysis, Classification Algorithms

    Intermediate · Project · Less Than 2 Hours

  • 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: 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
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    49 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    How to Visualize Data with R

    Skills you'll gain: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Presentation, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation

    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

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Statistical Reporting, Quantitative Research, Statistical Analysis, Probability & Statistics, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Statistics, Probability Distribution, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Machine Learning Algorithms: Sungkyunkwan University
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Python for Data Science: Real Projects & Analytics: EDUCBA
  • Predict Visitor Purchases with a Classification Model in BQML: Google Cloud
  • AI for Executives: The Basics: Khalifa University
  • Machine Learning and its Applications: University of Glasgow
  • How to Visualize Data with R: Packt
  • 머신 러닝: 회귀 모델: University of Washington
  • Interpretable Machine Learning Applications: Part 4: Coursera

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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