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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


  • E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Machine Learning Methods, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Data Manipulation, Programming Principles, Scripting, Machine Learning Algorithms, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Software Development Tools, Distributed Computing, Performance Tuning, Package and Software Management

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • E

    Edureka

    Testing and Deploying Angular Applications

    Skills you'll gain: Application Deployment, GitHub, Cloud Deployment, Performance Tuning, Unit Testing, Frontend Performance, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • C

    Coursera

    Optimize Campaigns & SEO Using Analytics Data

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Content Performance Analysis, Google Analytics, Web Analytics and SEO, Keyword Research, Customer Analysis, Web Analytics, Conversion Funnel Analysis, Marketing Effectiveness, Digital Analysis, Marketing Strategies, Search Engine Optimization, Content Optimization, Campaign Management, Marketing Automation, Data Validation, Cross-Channel Marketing, Trend Analysis, Predictive Analytics

    Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Site Reliability Engineering, Code Reusability, Data Integrity, CI/CD, Serverless Computing, Data Processing, Event Monitoring, Continuous Deployment, Unit Testing, Performance Tuning, Scalability, Disaster Recovery

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    No-Code Web Test Automation with Reflect

    Skills you'll gain: Browser Compatibility, Test Automation, Verification And Validation, Test Case, No-Code Development, Automation, Scenario Testing, Regression Testing, Software Quality Assurance, Software Testing, Quality Assurance

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • N

    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
1…565758…64

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

  • Machine Learning with PySpark: Edureka
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • Testing and Deploying Angular Applications: Edureka
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Learn to Choose the Right ML Model: Coursera
  • Optimize Campaigns & SEO Using Analytics Data: Coursera
  • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud

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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