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    Results for "random forest algorithm"

    • Status: Preview
      Preview
      U

      University of London

      Introduction to Applied Cryptography

      Skills you'll gain: Cryptography, Application Security, Cybersecurity, Encryption, Vulnerability Assessments, Key Management, Public Key Cryptography Standards (PKCS), Authentications, Mobile Security, Data Integrity

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Matlab, Data Mapping, Geospatial Information and Technology, Feature Engineering, Medical Imaging, Visualization (Computer Graphics), Applied Machine Learning, Geometric Dimensioning And Tolerancing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Databases, Natural Language Processing, Python Programming, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      42 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      C

      Carnegie Mellon University

      Statistical Thermodynamics: Molecules to Machines

      Skills you'll gain: Chemical Engineering, Engineering, Chemical and Biomedical Engineering, Applied Mathematics, Biochemistry, Mechanics, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Probability Distribution

      3.9
      Rating, 3.9 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Simplilearn

      Programming with C ++

      Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Data Structures, Algorithms, Development Environment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Data Science, Social Justice

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Exploratory Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      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)

      Beginner · Course · 1 - 3 Months

    • M

      MongoDB Inc.

      MongoDB Aggregation Framework

      Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, NoSQL, Data Migration, Database Systems, Data Analysis, Query Languages, Unstructured Data, Data Structures, Network Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      Introduction to Data Protection and Privacy

      Skills you'll gain: General Data Protection Regulation (GDPR), Personally Identifiable Information, Governance Risk Management and Compliance, Information Privacy, Data Governance, Data Security, Cybersecurity, Data Management, Data Storage, Cyber Risk, Data Processing, Data Access, Encryption

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 4 Weeks

    1…606162…159

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

    • Introduction to Applied Cryptography: University of London
    • Introduction to Computer Vision: MathWorks
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University
    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Programming with C ++: Simplilearn
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Machine Learning: Random Forest with Python from Scratch©: Packt

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