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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


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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Optimizing Enterprise Testing with Functionize

    Skills you'll gain: AI Orchestration, Testability, Jenkins, Integration Testing, Test Engineering, Azure DevOps, AI Enablement, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Serverless Data Processing with Dataflow: Operations em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Site Reliability Engineering, Debugging, Data Integrity, Performance Tuning, System Monitoring, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery, Integration Testing

    Advanced · Course · 1 - 3 Months

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Universidad de los Andes

    Maestría en Inteligencia Analítica de Datos

    Skills you'll gain: Social Network Analysis, Data Presentation, Systems Thinking, Unsupervised Learning, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing, Predictive Modeling, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Project Management Life Cycle, Marketing Analytics, Logistic Regression, Descriptive Analytics, Strategic Decision-Making, Transfer Learning, Simulations, Operations Research, Statistical Machine Learning

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Statistical Machine Learning, Regression Analysis, Data Storytelling, Social Network Analysis, Exploratory Data Analysis, Bayesian Statistics, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Supervised Learning, Web Scraping, Statistical Modeling, Linear Algebra, Python Programming, Data Preprocessing

    Earn a degree

    Degree · 1 - 4 Years

  • P

    Pontificia Universidad Católica de Chile

    Diplomado en Analítica de los Negocios

    Skills you'll gain: Descriptive Analytics, Model Evaluation, Logistic Regression, Dimensionality Reduction, Business Analytics, Predictive Analytics, Data Mining, Plot (Graphics), Data-Driven Decision-Making, Data Analysis, R Programming, Statistical Modeling, Big Data, Predictive Modeling, Data Modeling, Analytics, Visualization (Computer Graphics), Analytical Skills, Scientific Visualization, Data Visualization Software

    Credit offered

    Mastertrack · 6 - 12 Months

1…57585960

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

  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Optimizing Enterprise Testing with Functionize: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
  • Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
  • Learn to Choose the Right ML Model: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes

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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