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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Popular Regression Courses and Certifications


  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

    ★ 4.9 (14) · Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Splunk Administration and Advanced Topics

    Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Model Training, Incident Response, Computer Security Incident Management, User Accounts, Machine Learning Methods, Security Information and Event Management (SIEM), Applied Machine Learning, User Provisioning, Model Evaluation, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Cyber Threat Intelligence, Identity and Access Management

    ★ 4.8 (49) · Advanced · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R (Software), R Programming, Statistical Hypothesis Testing, Plot (Graphics), Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Statistical Visualization, Data Science, Tidyverse (R Package), Statistical Methods, Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics

    ★ 4.5 (15) · Intermediate · Course · 1 - 3 Months

  • D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • L

    L&T EduTech

    Highway Planning, Pavement Design and Construction

    Skills you'll gain: Traffic Flow Optimization, Construction Inspection, Building Codes, Construction Engineering, Construction, Construction Management, Civil Engineering, Stormwater Management, General Construction and Construction Labor, Structural Engineering, Hydrology, Hydraulics, Grading (Landscape), Public Works, Design Specifications, Structural Analysis, Materials science, Engineering Plans And Specifications, Engineering Practices, Failure Analysis

    ★ 4.6 (31) · Advanced · Specialization · 3 - 6 Months

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    ★ 4.3 (6) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Capstone Assignment

    Skills you'll gain: Deep Learning, Clinical Informatics, Predictive Modeling, Health Informatics, Clinical Data Management, Applied Machine Learning, Predictive Analytics, Model Evaluation, Machine Learning, Logistic Regression, Data Preprocessing, Data Processing, Recurrent Neural Networks (RNNs)

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Six Sigma Black Belt: Analyze, Improve & Control

    Skills you'll gain: Lean Six Sigma, Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Improvement and Optimization, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Predictive Analytics, Statistical Methods, Process Capability, Statistics, Quality Management, Statistical Analysis, Quality Monitoring

    ★ 5 (13) · Mixed · Course · 1 - 4 Weeks

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

  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Splunk Administration and Advanced Topics: EDUCBA
  • Machine Learning: O.P. Jindal Global University
  • R Programming for Statistics and Data Science: Packt
  • Machine Learning Fundamentals: Dartmouth College
  • Highway Planning, Pavement Design and Construction: L&T EduTech
  • Foundations of Data Science and Machine Learning with Python: Packt
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Capstone Assignment: University of Glasgow
  • Machine Learning Fundamentals for Java Developers: Board Infinity

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