Random Forest Algorithm

The Random Forest Algorithm is a powerful ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes of the individual trees. Coursera's Random Forest Algorithm catalogue teaches you the ins and outs of this versatile algorithm used in machine learning and data mining. You'll learn how to implement this algorithm for both classification and regression tasks, understand feature importance, deal with missing values, and tune hyperparameters for optimal performance. By mastering this skill, you'll be able to work efficiently with large datasets and solve complex predictive problems in various fields such as healthcare, banking, and e-commerce.
11credentials
1online degree
39courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "random forest algorithm"

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Machine Learning, Data Science

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Risk Modeling, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Tensorflow

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

  • 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)

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Decision Tree Learning, Data Science, Predictive Modeling, Statistical Analysis, Statistical Programming, Artificial Neural Networks, R Programming, Supervised Learning, Probability & Statistics, Advanced Analytics, Dimensionality Reduction, Random Forest Algorithm, Machine Learning

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Reinforcement Learning, Data Storytelling, Unsupervised Learning, Computer Vision, Deep Learning, Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, Statistical Analysis, Financial Data, Marketing Analytics, MLOps (Machine Learning Operations), Strategic Decision-Making, Descriptive Analytics, Simulations, Random Forest Algorithm, Operations Research, Stakeholder Engagement

  • Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Data Visualization, Data Presentation, Predictive Modeling, Financial Data, Marketing Analytics, Financial Modeling, Product Marketing, Predictive Analytics, Marketing Management, Dashboard, Advertising, Random Forest Algorithm, Operations Research, Natural Language Processing, Statistical Machine Learning, Statistical Analysis, Mathematical Modeling

  • Status: Free Trial

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning

What brings you to Coursera today?

Leading partners

  • Packt
  • EDUCBA
  • DeepLearning.AI
  • Johns Hopkins University
  • LearnQuest
  • University of Colorado Boulder
  • CertNexus
  • Simplilearn