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  • Regression Models

Regression Models Courses

Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.


Popular Regression Models Courses and Certifications


  • E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Predictive Analytics, Data Wrangling, Statistical Methods, Data Transformation, Statistical Analysis, Model Optimization, Graphing

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    ★ 4.6 (31) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Software, Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

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

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    ★ 4.7 (10) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (8) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy

    ★ 4.4 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management

    ★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    Edureka

    Predictive Modeling with Python

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

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…294

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

  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Build and deploy a stroke prediction model using R: Coursera
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan 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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