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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


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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Capital Adequacy, Stress Scenarios, and Financial Resilience

    Skills you'll gain: Risk Modeling, Risk Management, Bank Regulations, Financial Regulations, Operational Risk, Risk Analysis, Supplier Risk Management, Hedge Accounting, Business Continuity, Business Risk Management, Financial Analysis, Financial Systems, Performance Stress Testing, Applied Machine Learning, Machine Learning Methods

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Fine-tuning, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Exploratory Data Analysis with R and ggplot2

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Plot (Graphics), R (Software), Regression Analysis, Data Presentation, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Scatter Plots, Anomaly Detection, Descriptive Statistics, Analytical Skills, Correlation Analysis, Graphing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Machine Learning Methods, Decision Tree Learning, Machine Learning Algorithms, Classification Algorithms, Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Serverless Data Processing with Dataflow: Operations em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Site Reliability Engineering, Debugging, Data Integrity, Cloud Management, Performance Tuning, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery

    Advanced · Course · 1 - 3 Months

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

1…55565758

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

  • ML Concepts, Models & Workflow Essentials: Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • Capital Adequacy, Stress Scenarios, and Financial Resilience: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Apply Exploratory Data Analysis with R and ggplot2: EDUCBA
  • Build Predictive & Supervised Models: Coursera
  • Python: Implement & Evaluate Random Forests for ML: 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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