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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


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    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of London

    Global Diplomacy – Diplomacy in the Modern World

    Skills you'll gain: Diplomacy, International Relations, Political Sciences, Cultural Diversity, Mediation, Intercultural Competence, Public Affairs, World History, Conflict Management, Policy Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    5.6K reviews

    Mixed · Course · 1 - 3 Months

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    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Microservices, DevOps

    4.6
    Rating, 4.6 out of 5 stars
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    7.7K reviews

    Beginner · Course · 1 - 3 Months

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    Edureka

    Generative AI Essentials for Finance and Accounting

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Engineering Tools, Miro AI, Financial Accounting, Cash Flow Forecasting, Accounting, Risk Analysis, Cash Flows, Data Processing

    Beginner · Course · 1 - 4 Weeks

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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Understand and Apply AI Fundamentals with AWS

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Responsible AI, AWS SageMaker, Machine Learning, Applied Machine Learning, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, Ethical Standards And Conduct, Unsupervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

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    Coursera

    Foundations of Open Generative AI Engineering

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Open Source Technology, Image Analysis, Model Evaluation, Model Deployment, Data Security

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Advanced ALM with Azure DevOps & GitHub Integration

    Skills you'll gain: Application Lifecycle Management, DevSecOps, Azure DevOps, DevOps, Continuous Delivery, Software Quality Assurance, Release Management, Secure Coding, CI/CD, Git (Version Control System), Verification And Validation, Continuous Integration, GitHub, Software Testing, Security Controls, Software Development Tools, Data Governance, Continuous Deployment, Cyber Governance, Version Control

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

Searches related to regression models

generalized linear models and nonparametric regression
spss: apply & interpret logistic regression models
building statistical models in r: linear regression
excel regression models for business forecasting
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In summary, here are 10 of our most popular regression models courses

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Global Diplomacy – Diplomacy in the Modern World: University of London
  • Basic Statistics: University of Amsterdam
  • Data Science Methodology: IBM
  • Introduction to Cloud Computing: IBM
  • Generative AI Essentials for Finance and Accounting: Edureka
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Understand and Apply AI Fundamentals with AWS: EDUCBA
  • Foundations of Open Generative AI Engineering: Coursera
  • Improve Accuracy with ML Ensemble Methods: 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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