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  • Random Forests

Results for "random forests"


  • 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

    ★ 3.2 (15) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.6 (18) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution

    ★ 4.4 (3.4K) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    AI-Powered Market Research and Survey Design

    Skills you'll gain: Qualitative Research, General Data Protection Regulation (GDPR), Sampling (Statistics), Data Ethics, Market Research, Focus Group, User Research, Interviewing Skills, Personally Identifiable Information, Sample Size Determination, Compliance Management, Statistical Reporting, Statistical Methods, Data Collection, Statistical Analysis, Data Synthesis, Heat Maps, No-Code Development, Return On Investment, AI Integrations

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning

    ★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    ★ 4.6 (1.5K) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    ★ 4.6 (4.3K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…567…43

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

  • Advanced AI Techniques for the Supply Chain: LearnQuest
  • AI Machine Learning with R & Python Projects: EDUCBA
  • AI for Medical Diagnosis: DeepLearning.AI
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Regression Models: Johns Hopkins University
  • AI-Powered Market Research and Survey Design: Coursera
  • AI for Medical Prognosis : DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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