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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: New
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    Status: Free Trial
    Free Trial
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    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Risk Modeling, Descriptive Statistics, Financial Modeling, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Lending and Underwriting, Predictive Modeling, Predictive Analytics, Commercial Lending, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Performance Metric, Model Evaluation, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Plot (Graphics), Statistical Methods, Case Studies, Statistical Visualization, Statistical Modeling, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Forecasting, Statistical Analysis, Performance Metric, Machine Learning, Deposit Accounts

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    468 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Supervised Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Statistical Software, Data Analysis, Statistical Programming, Logistic Regression, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Model Evaluation, Public Health

    4.5
    Rating, 4.5 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
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    103 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    718 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistical and Predictive Modeling for Finance: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Analyze Predictor Impact Using Regression in Minitab: EDUCBA
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Supervised Machine Learning: Classification: IBM
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Classification Analysis: University of Colorado Boulder
  • Survival Analysis in R for Public Health: Imperial College London
  • Introduction to Neural Networks and PyTorch: IBM

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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