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  • Random Forest Algorithm

Results for "random+forest+algorithm"


  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Skills you'll gain: Visualization (Computer Graphics)

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Analytics, Regression Analysis, Machine Learning Algorithms, Advanced Analytics, Applied Machine Learning, Scikit Learn (Machine Learning Library), Business Analysis, Unsupervised Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Applied Machine Learning, Java Programming, Machine Learning Algorithms, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

1…567…9

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

  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Machine Learning with PySpark: Recommender System: Coursera
  • Implement Real-Time Face Detection with OpenCV & Python: EDUCBA
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign

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