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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • 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

    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
  • W

    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Optimization, Model Training, Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Classification Algorithms, Continuous Deployment, Continuous Integration, Predictive Modeling, Debugging

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations

    Intermediate · Course · 1 - 3 Months

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

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    ★ 4.8 (3.6K) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Keras (Neural Network Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Predictive Modeling, Fine-tuning, Scikit Learn (Machine Learning Library), Regression Analysis, Classification Algorithms, Python Programming

    ★ 3.3 (17) · Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Machine Learning Methods, Decision Tree Learning, Machine Learning Algorithms, Classification Algorithms, Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Test-Driven Development Project: Random Person Generator

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Program Development, Mockups, Test Script Development, Development Testing, Software Testing, Test Case

    ★ 4.4 (9) · Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, Transfer Learning, Data Preprocessing

    ★ 4.6 (618) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Social Network Analysis, Network Analysis, Theoretical Computer Science, Probability & Statistics

    ★ 4.8 (2K) · Intermediate · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…91011…304

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

  • Logistic Regression with R: Build & Predict: EDUCBA
  • Predictive Modeling with Python : Edureka
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Generative AI with Large Language Models: DeepLearning.AI
  • Neural Networks and Random Forests: LearnQuest
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Test-Driven Development Project: Random Person Generator: LearnQuest
  • Finetuning Large Language Models: DeepLearning.AI

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