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    Results for "exponential random graph models"

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      L

      Lund University

      Digital Business Models

      Skills you'll gain: Business Modeling, Digital Transformation, Innovation, Business Process, Software Development, Network Analysis, Business Strategy, E-Commerce, Market Share, Strategic Thinking, Value Propositions, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      565 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      É

      École Polytechnique Fédérale de Lausanne

      Interest Rate Models

      Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      195 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

      Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SAS: Apply & Evaluate Poisson & Negative Binomial Models

      Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Knowledge Graphs for RAG

      Skills you'll gain: Large Language Modeling, Query Languages, Data Storage Technologies, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      81 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Predictive Models: Build, Explore Data & Deploy

      Skills you'll gain: Data Modeling, Classification And Regression Tree (CART), Data Validation, Statistical Analysis, Application Deployment

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      R: Design & Evaluate Random Forests for Attrition

      Skills you'll gain: People Analytics, Data Processing, Workforce Management, Advanced Analytics, Process Validation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Test-Driven Development Project: Random Person Generator

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    1…91011…196

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

    • Machine Learning: Random Forest with Python from Scratch©: Packt
    • Digital Business Models: Lund University
    • Interest Rate Models: École Polytechnique Fédérale de Lausanne
    • Generative AI with Large Language Models: DeepLearning.AI
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • Python: Logistic Regression & Supervised ML: EDUCBA
    • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
    • Knowledge Graphs for RAG: DeepLearning.AI
    • Predictive Models: Build, Explore Data & Deploy: EDUCBA
    • R: Design & Evaluate Random Forests for Attrition: EDUCBA

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