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  • Linear Vs Logistic Regression

Results for "linear vs logistic regression"


  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Search Expert 103

    Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Mecánica de materiales

    Skills you'll gain: Structural Analysis, Mechanical Engineering, Mechanics, Materials science, Civil Engineering, Finite Element Methods, Engineering Analysis, Engineering Calculations, Physics, Mathematical Modeling, Linear Algebra, Trigonometry

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Playwright Power Techniques: Fast and Reliable Web Testing

    Skills you'll gain: Test Script Development, Test Automation, Regression Testing, Continuous Integration, Performance Testing, CI/CD, Browser Compatibility, Test Execution Engine, GitLab, Debugging, Test Case, User Interface (UI), Scalability

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Analysis and Interpretation of Large-Scale Programs

    Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Regression Analysis, Maternal Health, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Automated Reasoning: Symbolic Model Checking

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Model Evaluation, Systems Analysis, Graph Theory, Verification And Validation, Algorithms, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Mastering Image Segmentation with PyTorch: Packt
  • Machine Learning Algorithms: Sungkyunkwan University
  • Splunk Search Expert 103: Splunk Inc.
  • Mecánica de materiales: Pontificia Universidad Católica de Chile
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Playwright Power Techniques: Fast and Reliable Web Testing: Coursera
  • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University

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