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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pointers, Arrays, and Recursion

    Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    348 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store

    4.8
    Rating, 4.8 out of 5 stars
    ·
    244 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Asymmetric Cryptography and Key Management

    Skills you'll gain: Public Key Infrastructure, Public Key Cryptography Standards (PKCS), Key Management, Cryptography, Encryption, Authentications, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    281 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    頑想學概率:機率一 (Probability (1))

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Hardware Security

    Skills you'll gain: Hardware Design, Security Engineering, Hardware Architecture, Threat Modeling, Cybersecurity, Application Specific Integrated Circuits, Cryptography, Encryption, Technical Design, Emerging Technologies, System Design and Implementation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    690 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    636 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    933 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: Crafting Quality Code

    Skills you'll gain: Data Structures, Test Automation, Object Oriented Programming (OOP), Unit Testing, Python Programming, Program Development, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    729 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 3 Months

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

  • Pointers, Arrays, and Recursion: Duke University
  • Image Processing for Engineering and Science: MathWorks
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Asymmetric Cryptography and Key Management: University of Colorado System
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Hardware Security: University of Maryland, College Park
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Inferential Statistical Analysis with Python: University of Michigan
  • Learn to Program: Crafting Quality Code: University of Toronto

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