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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


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    Pontificia Universidad Católica de Chile

    Introducción a los modelos de demanda de transporte

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Statistical Modeling, Quantitative Research, Mathematical Modeling, Sampling (Statistics), Predictive Modeling, Statistical Methods, Regression Analysis, Network Model, Model Evaluation, Logistic Regression, Probability Distribution, Probability

    4.7
    Rating, 4.7 out of 5 stars
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    466 reviews

    Intermediate · Course · 1 - 3 Months

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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.7
    Rating, 3.7 out of 5 stars
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    61 reviews

    Beginner · Course · 1 - 4 Weeks

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    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Scientific Visualization, Plot (Graphics), Data Visualization, Predictive Modeling, Pareto Chart, Predictive Analytics, Model Optimization, Regression Analysis, A/B Testing, Statistical Modeling, Process Optimization, Statistical Software, Statistical Methods, Analysis, Data Analysis Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Intermediate · Course · 1 - 3 Months

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    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    2.5K reviews

    Mixed · Course · 1 - 3 Months

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    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Mathematical Modeling, Data Transformation, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
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    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Chris Croft Training

    Problem Solving, Decision Making, and Creativity

    Skills you'll gain: Problem Solving, Critical Thinking and Problem Solving, Complex Problem Solving, Decision Making, Creative Problem-Solving, Root Cause Analysis, Cognitive flexibility, Brainstorming, Ideation, Strategic Decision-Making, Creative Thinking, Decisiveness, Risk Management, Decision Intelligence, Creativity, Data-Driven Decision-Making, Risk Analysis, Innovation, Decision Tree Learning, Tree Maps

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    332 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Mindware: Critical Thinking for the Information Age

    Skills you'll gain: Logical Reasoning, Data Analysis, Deductive Reasoning, Analytical Skills, Analysis, Experimentation, Critical Thinking, Data Literacy, Critical Thinking and Problem Solving, Statistical Methods, Bayesian Statistics, Science and Research, Research Design, Behavioral Economics, Decision Making, Cognitive flexibility, Regression Analysis, Statistical Inference, Forecasting, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Data Analysis, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Science and Research, Statistical Analysis, Statistical Modeling, Spatial Analysis, Statistical Inference, Statistics, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    851 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G
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    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Classification And Regression Tree (CART), Data Ethics, Applied Machine Learning, Model Training, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Data Collection, Compliance Training, Regulatory Compliance, Test Tools, Learning Strategies, Test Planning, Goal Setting

    4.6
    Rating, 4.6 out of 5 stars
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    336 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Experimentation for Improvement: McMaster University
  • Machine Learning With Big Data: University of California San Diego
  • Machine Learning Introduction for Everyone: IBM
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Problem Solving, Decision Making, and Creativity: Chris Croft Training
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Mindware: Critical Thinking for the Information Age: University of Michigan
  • Principles of fMRI 1: Johns Hopkins 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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