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    • Regression Models
    Related topics:regression analysisregressionlinear regressionlogistic regressionr statisticsstatistics

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    223 results for "regression models"

    • IBM

      IBM

      Applied Data Science

      Skills you'll gain: Algebra, Analysis, Business Analysis, Cloud API, Cloud Computing, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science, Web

      4.6

      (37.9k reviews)

      Beginner · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Artificial Neural Networks, Computer Graphics, Computer Programming, Deep Learning, General Statistics, Human Computer Interaction, Language, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Natural Language Processing, Operations Research, Probability & Statistics, Python Programming, Regression, Research and Design, Statistical Programming, Strategy and Operations, User Experience

      4.6

      (4.5k reviews)

      Intermediate · Specialization

    • Johns Hopkins University

      Johns Hopkins University

      Data Science

      Skills you'll gain: Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Knitr, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Plot (Graphics), Probability & Statistics, R Programming, Regression, Regression Analysis, Software Engineering Tools, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.5

      (49.1k reviews)

      Beginner · Specialization

    • Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Agile Software Development, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Bigquery, Business Psychology, Cloud API, Cloud Computing, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Analysis, Data Management, Data Model, Data Structures, Databases, Deep Learning, DevOps, Distributed Computing Architecture, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Full-Stack Web Development, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Machine Learning Algorithms, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science, Web Development

      4.6

      (24k reviews)

      Intermediate · Professional Certificate

    • IBM

      IBM

      IBM Machine Learning

      Skills you'll gain: Advertising, Algebra, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Journalism, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (967 reviews)

      Intermediate · Professional Certificate

    • IBM

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Applied Machine Learning, Business Analysis, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (908 reviews)

      Intermediate · Specialization

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      DeepLearning.AI

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: General Statistics, Algorithms, Python Programming, Bayesian Statistics, Computational Logic, Mathematics, Artificial Neural Networks, Regression, Mathematical Theory & Analysis, Computer Programming, Markov Model, Deep Learning, Computer Architecture, Linear Algebra, Hardware Design, Machine Learning Algorithms, Machine Learning, Probability & Statistics, Theoretical Computer Science

      4.9

      (113.9k reviews)

      Intermediate · Course

    • Placeholder
      Meta

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Accounting, Advertising, Advertising Sales, Algebra, Algorithms, Analysis, Basic Descriptive Statistics, Big Data, Business Analysis, Communication, Computer Architecture, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Visualization, Digital Marketing, Econometrics, Entrepreneurship, Experiment, Finance, Forecasting, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market Analysis, Market Research, Marketing, Mathematics, Network Architecture, Network Model, Network Security, Operating Systems, Probability & Statistics, Programming Principles, Python Programming, Regression, Research and Design, Sales, Security Engineering, Security Strategy, Software Engineering, Software Security, Software Testing, Spreadsheet Software, Statistical Programming, Strategy, Strategy and Operations, System Security, Theoretical Computer Science

      4.7

      (872 reviews)

      Beginner · Professional Certificate

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      Columbia University

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Accounting, Algebra, Analysis, Applied Mathematics, Audit, BlockChain, Calculus, Euler'S Totient Function, FinTech, Finance, Investment Management, Leadership and Management, Linear Algebra, Machine Learning, Markov Model, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Modeling, Probability & Statistics, Risk Management

      4.4

      (63 reviews)

      Intermediate · Specialization

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      Google Cloud

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Psychology, Cloud API, Cloud Computing, Computational Thinking, Computer Architecture, Computer Programming, Data Analysis, Data Management, Data Structures, Deep Learning, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Tensorflow, Theoretical Computer Science

      4.5

      (9.2k reviews)

      Intermediate · Specialization

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      Duke University

      Duke University

      Excel to MySQL: Analytic Techniques for Business

      Skills you'll gain: Algebra, Analysis, Big Data, Business Analysis, Business Communication, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Data Visualization Software, Database Design, Databases, Entrepreneurship, Exploratory Data Analysis, Finance, General Statistics, Investment Management, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Mysql, Probability & Statistics, Problem Solving, Regression, Research and Design, SQL, Software, Spreadsheet Software, Statistical Classification, Statistical Programming, Strategy and Operations, Tableau Software, Theoretical Computer Science

      4.6

      (14.6k reviews)

      Beginner · Specialization

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      Duke University

      Duke University

      Data Analysis with R

      Skills you'll gain: Algebra, Bayesian Statistics, Data Analysis, Data Mining, Econometrics, Experiment, General Statistics, Inference, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Statistical Inference, Statistical Programming

      4.7

      (6.5k reviews)

      Beginner · Specialization

    Searches related to regression models

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    generalized linear models and nonparametric regression
    building statistical models in r: linear regression
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    regression modeling in practice
    build a regression model using pycaret
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    In summary, here are 10 of our most popular regression models courses

    • Applied Data Science: IBM
    • Natural Language Processing: DeepLearning.AI
    • Data Science: Johns Hopkins University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • IBM Machine Learning: IBM
    • IBM Introduction to Machine Learning: IBM
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Meta Marketing Analytics: Meta
    • Financial Engineering and Risk Management: Columbia University
    • Machine Learning on Google Cloud: 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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