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  • Random Forest Algorithm


Results for "random+forest+algorithm"


  • Status: New
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    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
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    16 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Build Predictive & Supervised Models

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Grow Trees & Powerful Ensembles

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Design Real-Time Architectures with Spark & Kafka

    Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Preview
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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

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  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    137 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Retrieval Augmented Generation

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Embeddings, Vector Databases, User Interface (UI), Generative AI, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, AI Enablement, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…9

In summary, here are 10 of our most popular random+forest+algorithm courses

  • Apply R for Predictive Analytics and Machine Learning: EDUCBA
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Build Predictive & Supervised Models: Coursera
  • Grow Trees & Powerful Ensembles: Coursera
  • Design Real-Time Architectures with Spark & Kafka: Coursera
  • Applied Unsupervised Learning in Python: University of Michigan
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Neural Networks and Random Forests: LearnQuest
  • Retrieval Augmented Generation: Packt

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