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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.


More to explore:

Popular Regression Models Courses and Certifications


  • Status: Free Trial
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    Whizlabs

    Power BI: Data Secure, Governance, and Workspace Management

    Skills you'll gain: Power BI, Dashboard, Interactive Data Visualization, Data Analysis Expressions (DAX), Business Reporting, Data Governance, Data Modeling, Data Transformation, Data Management, Data Manipulation, Role-Based Access Control (RBAC), Data Security, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

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    NIIT

    Implement Polyglot Persistence Using SQL and NoSQL Databases

    Skills you'll gain: MySQL, MongoDB, NoSQL, Object-Relational Mapping, Database Design, Relational Databases, SQL, Node.JS, Restful API, Databases, Data Persistence, Data Modeling, Back-End Web Development, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Linux Networking - Basics and Beyond

    Skills you'll gain: Apache, Network Troubleshooting, OSI Models, File Transfer Protocol (FTP), Linux Administration, Linux Servers, TCP/IP, Network Protocols, Linux Commands, Linux, Dynamic Host Configuration Protocol (DHCP), Virtual Networking, General Networking, Virtual Machines, Web Servers, Remote Access Systems, Network Infrastructure, Network Administration, Computer Networking, Network Analysis

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Michigan

    Uso de bancos de dados com Python

    Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Design, Data Visualization, Web Scraping, Interactive Data Visualization, Data Processing, Object Oriented Programming (OOP), Data Modeling, Geospatial Mapping, Python Programming, Web Development, Data Collection

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Essential Concepts of Vector Databases

    Skills you'll gain: Vector Databases, Large Language Modeling, LangChain, Embeddings, NoSQL, Database Systems, Databases, OpenAI API, Data Management, Development Environment, Unstructured Data, Real Time Data, Scalability, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

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    ISAE-SUPAERO

    Developments of structural dynamics

    Skills you'll gain: Finite Element Methods, Structural Engineering, Vibrations, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Linear Algebra, Numerical Analysis, Control Systems, Differential Equations

    4.4
    Rating, 4.4 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Vertex AI Search for Commerce

    Skills you'll gain: AI Personalization, AI Enablement, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Cloud Management, Data Modeling, System Monitoring, Restful API, Performance Measurement

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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

  • Power BI: Data Secure, Governance, and Workspace Management: Whizlabs
  • Implement Polyglot Persistence Using SQL and NoSQL Databases: NIIT
  • Linux Networking - Basics and Beyond: Pearson
  • Uso de bancos de dados com Python: University of Michigan
  • Essential Concepts of Vector Databases: Packt
  • Modern Natural Language Processing: Packt
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Developments of structural dynamics: ISAE-SUPAERO
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: 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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