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  • Decision Tree Learning

个结果,搜索词为 "decision tree learning"


  • 状态:免费试用
    免费试用
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    您将获得的技能: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    您将获得的技能: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    评分, 4.6 星,最高 5 星
    ·
    18 条评论

    初级 · 指导项目 · 不超过 2 小时

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    您将获得的技能: 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)

    初级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

    高级设置 · 课程 · 1-3 个月

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    您将获得的技能: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    评分, 4.5 星,最高 5 星
    ·
    819 条评论

    初级 · 指导项目 · 不超过 2 小时

  • 状态:免费试用
    免费试用
    V

    Vanderbilt University

    From Data to Decisions: Getting Started with AI

    您将获得的技能: Generative AI, Data Literacy, Data-Driven Decision-Making, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, Analytical Skills, Artificial Intelligence, Statistical Analysis, Decision Making

    4.1
    评分, 4.1 星,最高 5 星
    ·
    11 条评论

    初级 · 课程 · 1-4 周

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    您将获得的技能: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    评分, 4.5 星,最高 5 星
    ·
    59 条评论

    初级 · 指导项目 · 不超过 2 小时

  • 状态:新
    新
    状态:预览
    预览
    E

    EDUCBA

    Predictive Analytics Model for Term Deposit Investment

    您将获得的技能: Classification And Regression Tree (CART), Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Customer Analysis, Statistical Modeling, Financial Forecasting, Supervised Learning, Data Cleansing, Data Manipulation, Machine Learning Methods, Performance Tuning

    混合 · 课程 · 1-4 周

  • 状态:免费试用
    免费试用
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    您将获得的技能: 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
    评分, 4.4 星,最高 5 星
    ·
    90 条评论

    高级设置 · 课程 · 1-4 周

  • 状态:新
    新
    状态:预览
    预览
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    中级 · 课程 · 3-6 个月

  • 状态:免费试用
    免费试用
    E

    Edureka

    Machine Learning with PySpark

    您将获得的技能: PySpark, Performance Tuning, Machine Learning

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    您将获得的技能: 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
    评分, 4.6 星,最高 5 星
    ·
    25 条评论

    中级 · 指导项目 · 不超过 2 小时

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总之,以下是 10 最受欢迎的 decision tree learning 课程

  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • From Data to Decisions: Getting Started with AI: Vanderbilt University
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Predictive Analytics Model for Term Deposit Investment: EDUCBA
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Machine Learning with PyTorch and Scikit-Learn: Packt

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