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：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Computing, Data Pipelines, Application Programming Interface (API)
您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Data Transformation, Scalability, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation
状态：预览您将获得的技能: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Transformation, Machine Learning, Application Programming Interface (API)
您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Cloud Deployment, Deep Learning, Machine Learning Methods, Data Pipelines, Artificial Neural Networks
状态：免费试用Vanderbilt University
您将获得的技能: LLM 申请, 生成式人工智能, Prompt Engineering, AI 赋能, 创造力, 解决问题, 人工智能, 大型语言模型, ChatGPT, 情境管理, 验证和确认, OpenAI, 生产率, 提示模式
状态：预览National Taiwan University
您将获得的技能: Revenue Management, Service Design, Customer experience improvement, Financial Services, Innovation, Economics, Product Design, Case Studies, Platform As A Service (PaaS), Business Modeling, Business Strategy, Consumer Behaviour
状态：免费试用多位教师
您将获得的技能: NumPy, 张力流, Scikit-learn （机器学习库）, 无监督学习, 模型评估, 迁移学习, 决策树学习, 数据伦理, 强化学习, 机器学习, 分类算法, Jupyter, 预测建模, 数据预处理, 应用机器学习, 人工智能, 监督学习, 功能工程, 深度学习, 随机森林算法
状态：免费试用您将获得的技能: Python 程序设计, 无监督学习, 逻辑回归, 监督学习, 模型评估, 决策树学习, 机器学习, Scikit-learn （机器学习库）, 回归分析, 分类算法, 预测建模, 应用机器学习, 降维, 功能工程
状态：预览Erasmus University Rotterdam
您将获得的技能: 统计分析, 逻辑回归, 线性代数, 模型评估, 时间序列分析和预测, 统计, 回归分析, 概率, 数据分析, 计量经济学, 案例研究, 同行评审, 预测, 分析
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: 逻辑回归, 数据伦理, 监督学习, 张力流, 人工神经网络, 模型评估, 深度学习, 决策树学习, 机器学习, 迁移学习, 应用机器学习, 分类算法, 人工智能, 随机森林算法, 性能调整
总之，以下是 10 最受欢迎的 regression models 课程
- Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
- Chatgpt 应用提示工程: Vanderbilt University
- 服務模式的體驗、設計與創新：從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points): National Taiwan University
- 机器学习: DeepLearning.AI
- 使用 Python 进行机器学习: IBM
- 计量经济学：方法与应用: Erasmus University Rotterdam
- Machine Learning Fundamentals: Dartmouth College
