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    • Regression Models

    Regression Models Courses Online

    Learn to build and interpret regression models for data analysis. Understand how to apply various regression techniques for accurate predictions.

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    Explore the Regression Models Course Catalog

    • Status: Preview
      Preview
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Transformation, Data Processing, Data Pipelines, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Data Processing, Artificial Neural Networks, Data Cleansing, Data Transformation, Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Scalability, Data Transformation, MLOps (Machine Learning Operations), Feature Engineering, Deep Learning, Data Pipelines, Artificial Neural Networks, Machine Learning, Application Programming Interface (API), Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Reinforcement Learning, LLM Application, Deep Learning, Generative AI Agents, Applied Machine Learning, Natural Language Processing, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI for Everyone

      Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI Product Strategy, Artificial Intelligence, Business Process Automation, Automation, Cloud Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points)

      Skills you'll gain: Revenue Management, Service Design, Customer experience improvement, Financial Services, Innovation, Economics, Product Design, Case Studies, Platform As A Service (PaaS), Business Modeling, Business Strategy, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      36K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Trend Analysis, Analytics, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Large Language Modeling, Prompt Patterns, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Regression Models learners also search

    Regression
    Regression Analysis
    Linear Regression
    Logistic Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    1…252627…201

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

    • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
    • IBM AI Engineering: IBM
    • Prompt Engineering for ChatGPT: Vanderbilt University
    • Generative AI for Everyone: DeepLearning.AI
    • 服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points): National Taiwan University
    • Machine Learning: DeepLearning.AI
    • Machine Learning with Python: IBM

    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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