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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Token Optimization, Large Language Modeling, Model Optimization, Fine-tuning, Performance Tuning, Generative AI

    ★ 5 (7) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    ★ 4.6 (31) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Prompt Engineering for Vision Models

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Vision Transformer (ViT), Fine-tuning, Generative Model Architectures, Image Analysis, Computer Vision, AI Personalization

    ★ 4.9 (7) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, Model Training, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Regression Analysis, Predictive Analytics, Machine Learning Methods, Supervised Learning, Credit Risk, Performance Metric, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Statistical Software, Regression Analysis, Statistical Analysis, Model Evaluation, Predictive Modeling, Statistical Methods, Probability Distribution

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Fine-tuning, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Statistical Machine Learning, Predictive Analytics, Statistical Methods, Data Analysis, Analytics, Applied Machine Learning, Business Analytics, Machine Learning Methods, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Model Training, Data Preprocessing, Model Optimization, Python Programming, Data Manipulation, Pandas (Python Package), NumPy

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Analyze Advanced Data Using Minitab Regression Models

    Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Statistical Methods, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Statistical Analysis, Performance Metric, Deposit Accounts

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Process Modeling, Probability, Algorithms, Probability Distribution, Logical Reasoning

    ★ 4.3 (54) · Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Prompt Engineering Tools, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Model Optimization, Data Visualization Software, Fine-tuning, Unstructured Data, Data Processing, Data Analysis

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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…304

In summary, here are 10 of our most popular exponential random graph models courses

  • Efficiently Serving LLMs: DeepLearning.AI
  • Build and deploy a stroke prediction model using R: Coursera
  • Prompt Engineering for Vision Models: DeepLearning.AI
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Logistic Regression with R: Build & Predict: EDUCBA
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Predictive Modeling with Python : Edureka
  • Analyze Advanced Data Using Minitab Regression Models: EDUCBA
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA

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