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  • Model Regularization

Results for "model regularization"


  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Statistical Modeling, Feature Engineering, Forecasting, Performance Tuning, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Building on the SIR Model

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Epidemiology, Infectious Diseases, R Programming, Public Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EIT Digital

    Automated Reasoning: Symbolic Model Checking

    Skills you'll gain: Computational Logic, Theoretical Computer Science, 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

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Developing the SIR Model

    Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    273 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Kennesaw State University

    Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)

    Skills you'll gain: Value Propositions, Business Modeling, Presentations, Customer Analysis, Innovation, Customer Relationship Management, Entrepreneurship, Marketing Channel, Business Strategy, Strategic Partnership, Cost Management, Revenue Management, Resource Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    681 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

Searches related to model regularization

mastering neural networks and model regularization
1…8910…229

In summary, here are 10 of our most popular model regularization courses

  • Build and deploy a stroke prediction model using R: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Machine Learning: Regression: University of Washington
  • Train Machine Learning Models: CertNexus
  • Building on the SIR Model: Imperial College London
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Automated Reasoning: Symbolic Model Checking: EIT Digital
  • Developing the SIR Model: Imperial College London

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