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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: Free Trial
    Free Trial
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    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, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Generative AI, Model Optimization, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration

    4.5
    Rating, 4.5 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Database Systems, Database Management Systems

    4.5
    Rating, 4.5 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Data Modeling, Systems Of Measurement, Correlation Analysis, Regression Analysis, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Deployment, Keras (Neural Network Library), Model Training, Google Cloud Platform, Exploratory Data Analysis, Business Metrics, Data Preprocessing, Data Quality, Model Evaluation, Logistic Regression, Data Pipelines, Data Cleansing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Machine Learning, Performance Tuning, Dataflow

    4.2
    Rating, 4.2 out of 5 stars
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    31 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Marketing

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, AI Personalization, Advanced Analytics, Customer Retention, Analytics, Predictive Modeling, Marketing Strategies, Social Media Analytics, Marketing, Data Analysis, Social Network Analysis, Customer Analysis, Data Ethics, Customer Insights, Text Mining, Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    201 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • AI Driven Machine Learning with Python: EDUCBA
  • Statistics You Need to Know for Machine Learning: SAS
  • Foundations and Core Concepts of PyTorch: Packt
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Statistical Learning for Data Science: University of Colorado Boulder

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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