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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


  • Status: New
    New
    B

    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Plotly, Statistical Reporting, Predictive Modeling, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Data Science, Data Analysis, Classification And Regression Tree (CART), Data-Driven Decision-Making, Pandas (Python Package), Data Wrangling, Data Collection, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    461 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Exploratory Data Analysis, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Advanced Tableau Analytics to Real-World Data

    Skills you'll gain: Data Storytelling, Tableau Software, Dashboard, Market Data, Data-Driven Decision-Making, Data Presentation, Feature Engineering, Analytical Skills, Data Ethics, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Case Studies, Business Intelligence, Business Analytics, Financial Market, Interactive Data Visualization, Data Analysis, Financial Data, Financial Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Apply AI & Machine Learning to Financial Forecasting: Board Infinity
  • Applied Data Science Capstone: IBM
  • Build & Evaluate Decision Trees for ML: Coursera
  • Statistics for Data Science with Python: IBM
  • Google Advanced Data Analytics Capstone: Google
  • Applied Machine Learning and Model Optimization: Packt
  • Fundamentals of Machine Learning: Packt
  • Grow Trees & Powerful Ensembles: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Apply Advanced Tableau Analytics to Real-World Data: EDUCBA

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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