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  • Random Forest Algorithm

Results for "random forest algorithm"


  • E

    EDUCBA

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • C

    Coursera

    Optimize with GA & RL

    Skills you'll gain: Reinforcement Learning, Inventory Control, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Model Optimization, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Fine-tuning, Performance Tuning, Decision Making, Simulations, Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5 stars, 12 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, AI Personalization, Machine Learning, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • L

    LearnQuest

    Advanced AI Techniques for the Supply Chain

    Skills you'll gain: Image Analysis, Model Training, Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Artificial Intelligence, Convolutional Neural Networks, Model Optimization, Statistical Machine Learning, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Natural Language Processing

    3.1 stars, 16 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 3.1 (16) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution

    4.8 stars, 1.3K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Data Manipulation, Machine Learning Algorithms, R (Software), Apache Hadoop, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
1234…208

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

  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Optimize with GA & RL: Coursera
  • Mastering Machine Learning Algorithms using Python: Packt
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Build Robust Java ML Models with Entropy: Coursera
  • Recommender Systems Complete Course Beginner to Advanced: Packt
  • Advanced AI Techniques for the Supply Chain: LearnQuest
  • Sample-based Learning Methods: University of Alberta
  • Applied Machine Learning and Model Optimization: Packt

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