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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


  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Regression Models for Business Forecasting

    Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Predictive Modeling, Model Evaluation, Microsoft Excel, Statistical Modeling, Statistical Analysis, Data Visualization Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    110 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Analytics with SAS: Build & Deploy Models

    Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), Logistic Regression, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universiteit Leiden

    Population Health: Predictive Analytics

    Skills you'll gain: Predictive Analytics, Predictive Modeling, Model Evaluation, R Programming, Preventative Care, Health Informatics, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Precision Medicine, Supervised Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Linear Regression Modeling for Health Data: University of Michigan
  • Excel Regression Models for Business Forecasting: Macquarie University
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Machine Learning: Regression: University of Washington
  • Predictive Analytics with SAS: Build & Deploy Models: EDUCBA
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Building Statistical Models in R: Linear Regression: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera

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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