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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Explore and Evaluate Models using Model Garden

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Integrity, Data Validation, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    684 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Network Model, Object Oriented Programming (OOP), Computer Vision

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Large Language Models - Português Brasileiro

    Skills you'll gain: LLM Application, Large Language Modeling, Generative AI, Generative Model Architectures, Prompt Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Quality Models with CMMI: Analyze, Apply & Improve

    Skills you'll gain: Continuous Improvement Process, Process Improvement, Risk Management, Performance Measurement, Quality Management, Process Analysis, Performance Management, Project Management, Process Optimization, Verification And Validation, Requirements Analysis, Project Planning, Root Cause Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Blender 4 Creator Course Stylized 3D Models

    Skills you'll gain: 3D Assets, Computer Graphics, Technical Design, Visualization (Computer Graphics), Image Quality, Prototyping, Animations, Animation and Game Design, Color Theory, Design Elements And Principles

    Intermediate · Specialization · 3 - 6 Months

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1…212223…213

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

  • Introduction to Transformer Models for NLP: Unit 3: Pearson
  • Explore and Evaluate Models using Model Garden: Google Cloud
  • The Path to Insights: Data Models and Pipelines: Google
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Introduction to Large Language Models - Português Brasileiro: Google Cloud
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Master Quality Models with CMMI: Analyze, Apply & Improve: EDUCBA
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Natural Language Processing - Probability Models in Python: Packt

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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