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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Supervised Learning and Its Applications in Marketing

      Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Machine Learning and Emerging Technologies in Cybersecurity

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Machine Learning Software, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      MLOps in R: Deploying machine learning models using vetiver

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Deploying Machine Learning Models

      Skills you'll gain: Data Manipulation, Applied Machine Learning, Flask (Web Framework), Application Deployment, Django (Web Framework), Web Applications, Data Processing, Predictive Modeling, Machine Learning, Regression Analysis, Python Programming

      3.5
      Rating, 3.5 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Unsupervised Learning in Python

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      From Data to Decisions: Making Predictions with AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to random forests

    neural networks and random forests
    r: design & evaluate random forests for attrition
    python: implement & evaluate random forests for ml
    1…293031…33

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

    • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
    • MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
    • Deploying Machine Learning Models: University of California San Diego
    • Applied Unsupervised Learning in Python: University of Michigan
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Statistical Learning for Engineering Part 1: Northeastern University
    • From Data to Decisions: Making Predictions with AI: Vanderbilt University
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network

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