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：新状态：免费试用Johns Hopkins University
您将获得的技能: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
状态：免费试用University of Colorado Boulder
您将获得的技能: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics
状态：免费试用Università di Napoli Federico II
您将获得的技能: Financial Market, Portfolio Management, Investments, Equities, Portfolio Risk, Market Liquidity, Capital Markets, Finance, Risk Analysis, Economics, Probability Distribution, Decision Making
状态：免费试用University of Colorado Boulder
您将获得的技能: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
状态：新状态：预览Northeastern University
您将获得的技能: Probability & Statistics, Probability Distribution, Probability, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability, Risk Modeling
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing
状态：预览Duke University
您将获得的技能: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution
状态：新状态：免费试用您将获得的技能: File I/O, JSON, Package and Software Management, Authorization (Computing), Web Scraping, Application Programming Interface (API), Python Programming, Authentications, Object Oriented Programming (OOP), Data Processing, Simulations, Data Management, Probability & Statistics
您将获得的技能: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
状态：预览Coursera
您将获得的技能: AI Personalization, Business Logic, Application Development, C# (Programming Language), Computer Programming, Programming Principles, Data Structures, Debugging
- 状态：预览
University of Illinois Urbana-Champaign
您将获得的技能: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing, Influencing
总之，以下是 10 最受欢迎的 random forest 课程
- Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
- Data Processing and Manipulation: University of Colorado Boulder
- Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
- Asset Pricing Fundamentals: Università di Napoli Federico II
- Data Acquisition, Risk, and Estimation: University of Colorado Boulder
- Engineering Probability and Statistics Part 1: Northeastern University
- Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
- Inferenzstatistik: Duke University
- Intermediate Python and Practical Skills: Packt
- Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
