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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


  • Status: Free Trial
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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    585 reviews

    Advanced · Course · 1 - 3 Months

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    Starweaver

    Digital Forensics Essentials

    Skills you'll gain: Digital Forensics, Investigation, Cybersecurity, Data Integrity, Criminal Investigation and Forensics, Data Ethics, Computer Security, Scenario Testing, Data Security, Technical Communication, Incident Response, Writing, Technical Documentation, File Systems, Artifactory, Microsoft Windows, Linux Commands

    Beginner · 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, 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

  • Status: New
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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    670 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    New York University

    Introduction to Cyber Security

    Skills you'll gain: Security Engineering, Authentications, Threat Modeling, Network Security, Public Key Infrastructure, Distributed Denial-Of-Service (DDoS) Attacks, Firewall, Cyber Attacks, Cryptography, Infrastructure Security, Cybersecurity, Cyber Security Strategy, Data Encryption Standard, Cyber Risk, Mobile Security, Enterprise Security, Computer Security, Application Security, Threat Detection, Cyber Security Policies

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Status: AI skills
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    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
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    47 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: New
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    Packt

    Building Applications with Blazor Server & WASM

    Skills you'll gain: ASP.NET, JavaScript Frameworks, Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, .NET Framework, UI Components, Back-End Web Development, Object-Relational Mapping, Application Frameworks, Model View Controller, User Interface (UI), Data Modeling, Data Validation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

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logistic regression with sas: build & evaluate models
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In summary, here are 10 of our most popular regression models courses

  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • The Nuts and Bolts of Machine Learning: Google
  • Digital Forensics Essentials: Starweaver
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Introduction to Cyber Security: New York University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • PyTorch for Deep Learning: DeepLearning.AI

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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