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  • Regression Models

Results for "regression models"


  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Six Sigma Black Belt: Analyze, Improve & Control

    Skills you'll gain: Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Quality Management, Statistical Analysis, Regression Analysis, Probability & Statistics, Microsoft Excel, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Data Management, Data Governance, Data Quality, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Predictive Analytics, Analytics, Technical Management, Business Analytics, Machine Learning, Strategic Decision-Making, Artificial Intelligence, Large Language Modeling, Regression Analysis, Decision Tree Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Generative AI, Cloud Security, Cybersecurity, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Data Storage, Peripheral Devices, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, OSI Models, General Networking, Data Security, Cloud Infrastructure, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to regression models

spss: apply & interpret logistic regression models
building regression models with linear algebra
generalized linear models and nonparametric regression
excel regression models for business forecasting
quantifying relationships with regression models
build regression, classification, and clustering models
regression & logistic models in excel & minitab
building statistical models in r: linear regression
1…313233…221

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

  • Bayesian Statistics: Duke University
  • Google AI Essentials: Google
  • Applied Machine Learning in Python: University of Michigan
  • IBM Introduction to Machine Learning: IBM
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • IBM Business Intelligence (BI) Analyst: IBM
  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud
  • Six Sigma Black Belt: Analyze, Improve & Control: EDUCBA
  • AI for Executives: The Basics: Khalifa 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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