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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


  • Status: Free Trial
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    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    B

    Board Infinity

    Time Series Forecasting with Python: Models to Production

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Recurrent Neural Networks (RNNs), Model Evaluation, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Data Preprocessing, Statistical Methods, Deep Learning, Supervised Learning, Statistical Modeling, Statistical Analysis, Model Training, Data Wrangling, Machine Learning, Python Programming, Correlation Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google

    The Path to Insights: Data Models and Pipelines

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    729 reviews

    Advanced · Course · 1 - 4 Weeks

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    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Coursera

    Fine-tuning Image Models with Diffusion

    Skills you'll gain: Model Deployment, Fine-tuning, Model Optimization, Generative AI, Application Deployment, AI Workflows, Generative Model Architectures, Model Training, AI Personalization, Image Quality, Embeddings, Autoencoders, Performance Tuning, Data Preprocessing, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

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

  • Evaluate & Swap Models in Java ML: Coursera
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • Time Series Forecasting with Python: Models to Production: Board Infinity
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • The Path to Insights: Data Models and Pipelines: Google
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Fine-tuning Image Models with Diffusion: Coursera
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute

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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