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    Results for "random forest algorithm"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Methods, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.3
      Rating, 3.3 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      426 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      H

      H2O.ai

      Practical Machine Learning on H2O

      Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Software Architecture, LLM Application, Responsive Web Design, Generative AI, Flask (Web Framework), Cascading Style Sheets (CSS), Large Language Modeling, Unit Testing, LangChain, Software Design, Web Design and Development, Software Development Methodologies, Data Import/Export, Python Programming, Engineering Software, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      75K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      635 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Rust – Lifetimes, Iterators, Testing & Randomness

      Skills you'll gain:

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Responsible AI, LLM Application, Workflow Management, Action Oriented, No-Code Development, Business Workflow Analysis, Machine Learning, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), IBM Cloud, Natural Language Processing, Deep Learning, Artificial Intelligence, Image Quality, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31K reviews

      Beginner · Specialization · 3 - 6 Months

    1…111213…169

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

    • Data Science Fundamentals with Python and SQL: IBM
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • AI for Medicine: DeepLearning.AI
    • Supervised Machine Learning: Classification: IBM
    • Practical Machine Learning on H2O: H2O.ai
    • IBM AI Developer: IBM
    • Cryptography I: Stanford University
    • Machine Learning Foundations for Product Managers: Duke University
    • Advanced Rust – Lifetimes, Iterators, Testing & Randomness: Packt
    • Data Science: Johns Hopkins University

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