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    • Random Forest

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    61 results for "random forest"

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      Coursera Project Network

      Decision Tree and Random Forest Classification using Julia

      Skills you'll gain: General Statistics, Machine Learning, Machine Learning Algorithms, Probability & Statistics

      4.3

      (15 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      LearnQuest

      Neural Networks and Random Forests

      Skills you'll gain: Artificial Neural Networks, Machine Learning

      3.1

      (7 reviews)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Build Random Forests in R with Azure ML Studio

      Skills you'll gain: Data Management, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Data Science

      4.8

      (63 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Predict Diabetes with a Random Forest using R

      Skills you'll gain: Machine Learning, Computer Programming, R Programming

      4.5

      (112 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

      Skills you'll gain: Machine Learning, R Programming

      4.6

      (96 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Predict Ideal Diamonds over Good Diamonds using a Random Forest using R

      Skills you'll gain: General Statistics, Probability & Statistics, Data Analysis, Data Science, Machine Learning

      4.8

      (33 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (1.6k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Software, Statistical Programming, Applied Machine Learning, Computer Vision, Data Analysis, Estimation, Exploratory Data Analysis, General Statistics, Statistical Tests, Statistical Visualization, Algorithms, Computer Graphics, Computer Programming, Data Management, Data Structures, Feature Engineering, Probability & Statistics, Theoretical Computer Science

      4.7

      (1.8k reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Programming, Regression, Deep Learning, Data Analysis, Artificial Neural Networks, Applied Machine Learning, Correlation And Dependence, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algorithms, Reinforcement Learning, Theoretical Computer Science, Basic Descriptive Statistics, Data Mining, Feature Engineering, General Statistics, Natural Language Processing, Data Management, Data Structures, Dimensionality Reduction

      3.1

      (27 reviews)

      Intermediate · Specialization · 3-6 Months

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      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Machine Learning, Probability & Statistics, Computer Programming, Python Programming, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Dimensionality Reduction, Mathematics, Econometrics, General Statistics, Advertising, Communication, Data Science, Marketing, Regression

      3.6

      (41 reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      XG-Boost 101: Used Cars Price Prediction

      Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Reinforcement Learning, Python Programming, Regression

      4.7

      (35 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Programming, Regression, Data Analysis, Correlation And Dependence, Statistical Analysis, Statistical Tests, Applied Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Data Mining, Feature Engineering, General Statistics, Natural Language Processing, Data Management, Data Structures, Theoretical Computer Science

      3.0

      (22 reviews)

      Intermediate · Course · 1-3 Months

    Searches related to random forest

    build random forests in r with azure ml studio
    decision tree and random forest classification using julia
    neural networks and random forests
    predict diabetes with a random forest using r
    machine learning: predict poisonous mushrooms using a random forest model and the fftrees package in r
    predict ideal diamonds over good diamonds using a random forest using r
    1234…6

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

    • Decision Tree and Random Forest Classification using Julia: Coursera Project Network
    • Neural Networks and Random Forests: LearnQuest
    • Build Random Forests in R with Azure ML Studio: Coursera Project Network
    • Predict Diabetes with a Random Forest using R: Coursera Project Network
    • Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R: Coursera Project Network
    • Predict Ideal Diamonds over Good Diamonds using a Random Forest using R: Coursera Project Network
    • Advanced Learning Algorithms: DeepLearning.AI
    • AI for Medical Diagnosis: DeepLearning.AI
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • AI for Scientific Research: LearnQuest

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Random Forest

    • Random forest is a classification algorithm that is a collection of various decision trees. It is a classification algorithm that, with the combination of trees, helps increase the overall results. Random forest is used for classification and regression tasks and shows how many uncorrelated pieces can produce more accurate predictions than the individual ones.‎

    • Random forest is important to learn because it will help you advance in your data-related career. It will give you skills to perform more accurate tests and help you achieve results with a low prediction error. It is also important to learn random forest because it is widely used and helps you maintain the accuracy of large data even with missing variables. Learning random forest will save you time while providing better, more accurate results.‎

    • Some typical careers that use random forest are data scientists and analytic jobs. In these careers, you will use random forest to analyze data and come up with predictions based on the results. The data gathered and analyzed can be from many different areas. This can include medical data to predict diseases or illnesses, market data to predict sales, or use data to predict the number of cars rented by season, for example. In an analytic job and as a data scientist you will use random forest to come up with accurate predictions.‎

    • Online courses will help you learn about random forest because they will offer video lectures, readings, and examples to explain the material to you. These courses will give you the chance to practice and demonstrate your knowledge with various assignments or projects on different software. Online courses will also help you learn random forest by giving you the flexibility to study on your own time while having access to the material and experts that will guide you along the course.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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