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    Results for "random forests"

    • C

      Coursera Project Network

      Build Image Quality Inspection using AWS Lookout for Vision

      Skills you'll gain: Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Software Quality Assurance, Data Science, Machine Learning, Cloud Computing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.5
      Rating, 3.5 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tidymodels in R: Building tidy machine learning models

      Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Machine Learning Essentials

      Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Identify Damaged Car Parts with Vertex AutoML Vision

      Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, MLOps (Machine Learning Operations), Computer Vision, Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      RNN Architecture and Sentiment Classification

      Skills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 5

      Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Predictive Modeling, Visualization (Computer Graphics), Data Validation, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Recommender Systems Complete Course Beginner to Advanced

      Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Global Positioning Systems, Machine Learning, R Programming, Image Quality, Data Processing, Open Source Technology, Data Collection, Data Transformation, Dimensionality Reduction, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    Searches related to random forests

    neural networks and random forests
    python: implement & evaluate random forests for ml
    r: design & evaluate random forests for attrition
    1…31323334

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

    • Build Image Quality Inspection using AWS Lookout for Vision: Coursera Project Network
    • Applied Machine Learning: Johns Hopkins University
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • Machine Learning Essentials: University of Pennsylvania
    • Building and Training Neural Networks with PyTorch: Packt
    • Predictive Analytics for Business with H2O in R: Coursera Project Network
    • Identify Damaged Car Parts with Vertex AutoML Vision: Google Cloud
    • RNN Architecture and Sentiment Classification: Packt
    • Interpretable machine learning applications: Part 5: Coursera Project Network
    • Machine Learning for Computer Vision: MathWorks

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