Random Forest 课程
Random Forest 课程可以帮助您学习决策树算法、Ensemble 方法、Feature Selection 和模型评估技术。您可以掌握数据预处理、超参数调整和解释模型输出的技能。许多课程会介绍 Python 的 Scikit-learn 和 R 的 randomForest 包等工具，展示如何将这些技能应用于分类、回归和处理大型数据集等任务。
热门 Random Forest 课程和认证
状态：免费试用Imperial College London
您将获得的技能: 统计建模, 模型评估, R 语言程序设计（中文版）, 传染病, 统计方法, 模拟, 公共卫生, 微分方程, 流行病学, 预测建模, 数据建模, 概率分布, 数学建模, 风险模型
状态：预览Johns Hopkins University
您将获得的技能: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
状态：免费试用University of Maryland, College Park
您将获得的技能: 数据分析, 统计方法, 大数据, 抽样（统计）, 研究设计, 创建调查, 数据收集, Data Validation, 数据管理, Data Management, 数据质量
状态：免费试用University of Michigan
您将获得的技能: 统计分析, 贝叶斯统计, Python 程序设计, Matplotlib, 统计方法, 概率与统计, 抽样（统计）, 统计推理, NumPy, 统计假设检验, Jupyter
状态：免费试用Meta
您将获得的技能: 统计建模, 统计分析, 贝叶斯统计, 描述性统计, 回归分析, Tableau 软件, 数据分析, 电子表格软件, 营销分析, 概率与统计, 统计方法, 分析, 抽样（统计）, 时间序列分析和预测, 数据建模, 统计, 统计推理, 统计假设检验
状态：免费试用University of Colorado Boulder
您将获得的技能: 物理科学, 统计方法, 工程学, 物理学, 微积分, 化学, 概率分布, 机械工程
状态：免费试用Johns Hopkins University
您将获得的技能: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
状态：预览Universidad de los Andes
您将获得的技能: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference
状态：预览Universidad Austral
您将获得的技能: Environmental Science, Chemistry, Biology, Environmental Monitoring, Environment, Data Analysis, Physical Science, Sustainable Development, Life Sciences, Statistical Analysis, Natural Resource Management, Water Quality, Sampling (Statistics), Physics, Climate Change Mitigation, Probability Distribution
状态：免费试用您将获得的技能: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning
状态：免费试用您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming
状态：免费试用Duke University
您将获得的技能: 科学方法, 演绎推理, 抽样（统计）, 案例研究, 样本量的确定, 概率, 相关性分析
总之，以下是 10 最受欢迎的 random forest 课程
- 传染病模型: Imperial College London
- Introduction to Uncertainty Quantification: Johns Hopkins University
- 数据收集和分析框架: University of Maryland, College Park
- 使用 Python 进行推理统计分析: University of Michigan
- 统计基础: Meta
- 宏观和微观热力学基础: University of Colorado Boulder
- Statistical Methods for Computer Science: Johns Hopkins University
- Fundamentos de estadística aplicada: Universidad de los Andes
- Conceptos base para el estudio del medio ambiente: Universidad Austral
- Advanced AI Techniques for the Supply Chain: LearnQuest
