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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


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    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Embeddings, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

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    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

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    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment

    Mixed · Course · 1 - 4 Weeks

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    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

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    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Create Image Captioning Models - 简体中文

    Skills you'll gain: Image Analysis, Generative AI, Model Evaluation, Convolutional Neural Networks, Generative Model Architectures, Deep Learning

    Advanced · Course · 1 - 4 Weeks

Searches related to regression models

spss: apply & interpret logistic regression models
quantifying relationships with regression models
excel regression models for business forecasting
generalized linear models and nonparametric regression
build regression, classification, and clustering models
regression & logistic models in excel & minitab
building regression models with linear algebra
logistic regression with sas: build & evaluate models
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In summary, here are 10 of our most popular regression models courses

  • Quick Start Guide to Large Language Models (LLMs): Pearson
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Master Quality Models with CMMI: Analyze, Apply & Improve: EDUCBA
  • Introduction to Transformer Models for NLP: Unit 3: Pearson
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke 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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