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  • Random Forest Algorithm

Results for "random+forest+algorithm"


  • Status: Free Trial
    Free Trial
    A

    Amazon

    Data Structures and Algorithms

    Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Java Programming, Algorithms, Software Testing, Java, Computer Programming, Software Development, Scalability

    4.2
    Rating, 4.2 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    135 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    673 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    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 Workflows, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Query Languages

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    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
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Big Data with Hadoop: Apply MapReduce, Pig & Hive

    Skills you'll gain: Apache Hive, Big Data, JSON, Case Studies, Apache Hadoop, People Analytics, Policty Analysis, Research, and Development, Analytics, Data Analysis, Social Sciences, Data Wrangling, Data-Driven Decision-Making, Data Preprocessing, Data Processing, Business Analytics, Data Manipulation, Data Transformation, Query Languages, Debugging, Demography

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

1234…9

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

  • Data Structures and Algorithms: Amazon
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Retrieval Augmented Generation: Packt
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Recommender Systems: Packt
  • Big Data with Hadoop: Apply MapReduce, Pig & Hive: EDUCBA
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • ML Algorithms: Whizlabs

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