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  • Random Forest

Random Forest Courses

Random Forest courses can help you learn decision tree algorithms, ensemble methods, feature selection, and model evaluation techniques. You can build skills in data preprocessing, hyperparameter tuning, and interpreting model outputs. Many courses introduce tools like Python's scikit-learn and R's randomForest package, showing how these skills are applied to tasks such as classification, regression, and handling large datasets.


Popular Random Forest Courses and Certifications


  • C

    Coursera

    SQL Mathematical Functions

    Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Analysis and Interpretation of Large-Scale Programs

    Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Regression Analysis, Maternal Health, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    OpenAI: Consistent Response Strategies

    Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Introduction to Data Science

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 1

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability, Risk Modeling

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Geographical Information Systems - Part 2

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript)

    Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Web Services, Javascript, Web Applications, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Household Surveys for Program Evaluation in LMICs

    Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Исследование и генерация данных для принятия бизн.-реш.

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing

    Beginner · Course · 1 - 3 Months

Searches related to random forest

neural networks and random forests
r: design & evaluate random forests for attrition
python: implement & evaluate random forests for ml
machine learning: random forest with python from scratch©
1…262728…38

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

  • SQL Mathematical Functions: Coursera
  • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
  • OpenAI: Consistent Response Strategies: Coursera
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • Introduction to Data Science: Ball State University
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Engineering Probability and Statistics Part 1: Northeastern University
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
  • API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript): Scrimba

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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