Regression 模型课程
Regression Model 课程可以帮助您学习统计分析、假设检验和数据可视化技术。您可以掌握解释系数、评估模型拟合度和执行变量选择的技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具支持实施回归技术和分析数据集。
热门 Regression 模型课程与认证
状态：新Google Cloud
您将获得的技能: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Business Process Automation, Google Cloud Platform, Artificial Intelligence, Google Workspace
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, Cloud Security, Generative AI, Information Privacy, Data Ethics, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Safety and Security, Open Source Technology, Machine Learning, Data Quality
状态：免费试用您将获得的技能: Application Deployment, Cloud Applications, ASP.NET, Microsoft Azure, Software Architecture, Authentications, Application Design, User Interface (UI), Identity and Access Management, Microsoft Development Tools, Application Development, Database Development, Maintainability, Model View Controller, Web Servers, Debugging, Data Validation
状态：新状态：免费试用您将获得的技能: 3D Assets, 3D Modeling, Functional Design, Prototyping, Computer Graphics
您将获得的技能: Responsible AI, Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Documentation, Software Documentation
状态：预览您将获得的技能: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Generative AI, Employee Retention, Analysis, Operational Efficiency
状态：新状态：预览Simplilearn
您将获得的技能: Reinforcement Learning, Agentic systems
您将获得的技能: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, MLOps (Machine Learning Operations)
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage, DevOps, Data Processing, Application Deployment, Data Management, Scalability
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Visualization, Statistical Modeling, Feature Engineering, Data Science, Data Cleansing, Animation and Game Design
状态：免费试用您将获得的技能: Prompt Patterns, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Agentic systems, Secure Coding, Authorization (Computing), Debugging, Authentications
与 regression models 相关的搜索
总之，以下是 10 最受欢迎的 regression models 课程
- Generative KI ist mehr als nur Chatbots: Google Cloud
- Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
- Advanced Development, Deployment, and Cloud Integration: Packt
- Houdini Procedural Modeling: Build & Refine Assets: EDUCBA
- Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
- GenAI for Compensation Analysis in Law Firms: Coursera
- Q Learning in Reinforcement Training Basics: Simplilearn
- Discover and Catalog Vertex AI Assets with Dataplex: Google Cloud
- MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
