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  • Linear Regression

Linear Regression Courses

Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.


More to explore:

Popular Linear Regression Courses and Certifications


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    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

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    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Houdini FX Procedural Modeling and VEX Effects Mastery

    Skills you'll gain: Animations, 3D Modeling, 3D Assets, Computer Graphics, Virtual Environment, Visualization (Computer Graphics), Prototyping, User Interface (UI), Linear Algebra, Programming Principles, Simulations, Scripting, Computational Logic, Scripting Languages, Graphical Tools

    Beginner · Specialization · 3 - 6 Months

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    Simplilearn

    Search Engine Optimization

    Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Google Ads, Google Analytics, Keyword Research, Digital Marketing, Information Architecture, Content Strategy, Content Creation, User Experience

    4
    Rating, 4 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Cloud Run Canary Deployments

    Skills you'll gain: Continuous Deployment, Application Deployment, CI/CD, Release Management, Cloud Deployment, Regression Testing, Google Cloud Platform, Load Balancing, Application Development, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

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    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

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    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

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    O.P. Jindal Global University

    Artificial Intelligence

    Skills you'll gain: Machine Learning Algorithms, Classification Algorithms, AI Enablement, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Business Strategy, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 Months

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    EDUCBA

    XML - Beginner Level

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Data Sharing, Interoperability, Information Architecture, Technical Documentation, Data Management, Data Validation, Document Management

    4.4
    Rating, 4.4 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Machine Learning with Implementation in Java: Board Infinity
  • Houdini FX Procedural Modeling and VEX Effects Mastery: EDUCBA
  • Search Engine Optimization: Simplilearn
  • Cloud Run Canary Deployments: Google Cloud
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Deep Neural Network for Beginners Using Python: Packt
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Compare Models with Experiments in Azure ML Studio: Coursera
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern 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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