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  • Regression

Regression 课程

回归课程可以帮助您学习统计建模、数据分析技术以及如何解释变量之间的关系。您可以掌握线性回归、Logistic Regression、理解残差以及评估模型性能的技能。许多课程都会介绍 R、Prediction 和 Excel 等工具,这些工具支持进行分析和数据 Visualization,让您可以将这些技能应用到实际工作中,如根据数据预测结果和做出明智的决策。


热门 Regression 课程和认证


  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    中级 · 课程 · 1-4 周

  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations em Português Brasileiro

    您将获得的技能: Dataflow, Data Pipelines, Site Reliability Engineering, Debugging, Data Integrity, Performance Tuning, System Monitoring, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery, Integration Testing

    高级设置 · 课程 · 1-3 个月

  • C

    Coursera

    Scaling No-Code Automation with Reflect

    您将获得的技能: Test Case, Test Automation, Test Execution Engine, Regression Testing, CI/CD, API Testing, Continuous Integration, Continuous Deployment, No-Code Development, Test Planning, Test Data, Maintainability, Debugging, Scalability

    高级设置 · 课程 · 1-4 周

  • C

    Coursera

    Advanced Tricentis Tosca Automation Strategies

    您将获得的技能: API Testing, Test Automation, Test Case, Test Execution Engine, Application Programming Interface (API), Regression Testing, System Monitoring, Restful API, Continuous Integration, Scenario Testing, Debugging, Continuous Delivery, Jenkins, CI/CD, Test Data, Azure DevOps, Query Languages, Data Validation

    高级设置 · 课程 · 1-4 周

  • E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    您将获得的技能: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    混合 · 课程 · 1-4 周

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Traverse Trees for ML with DFS & BFS

    您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    高级设置 · 课程 · 1-4 周

  • C

    Coursera

    Build Robust Java ML Models with Entropy

    您将获得的技能: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    高级设置 · 课程 · 1-4 周

  • E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    您将获得的技能: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    混合 · 课程 · 1-4 周

  • I

    Indian Statistical Institute

    Postgraduate Diploma in Applied Statistics

    您将获得的技能: Sampling (Statistics), Time Series Analysis and Forecasting, Surveys, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, Probability & Statistics, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Demography, International Finance

    研究生文凭 · 6-12 个月

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    您将获得的技能: Data Ethics, Data Presentation, Statistical Machine Learning, Regression Analysis, Data Storytelling, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Statistical Methods, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Supervised Learning, Network Analysis, Data Preprocessing, Web Scraping, Statistical Modeling, Linear Algebra, Python Programming

    获得学位

    学位 · 1-4 年

  • B

    Ball State University

    Master of Science in Data Science

    您将获得的技能: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Unsupervised Learning, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Object Oriented Programming (OOP), Spatial Analysis, SAS (Software), Text Mining, Artificial Intelligence, Logistic Regression, Statistical Programming, Natural Language Processing

    获得学位

    学位 · 1-4 年

与 regression 相关的搜索

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1…58596061

总之,以下是 10 最受欢迎的 regression 课程

  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
  • Scaling No-Code Automation with Reflect: Coursera
  • Advanced Tricentis Tosca Automation Strategies: Coursera
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Build Robust Java ML Models with Entropy: Coursera
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute

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