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：预览您将获得的技能: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
状态：新状态：免费试用您将获得的技能: Swift Programming, UI Components, Apple iOS, Mobile Development, Apple Xcode, Responsive Web Design, User Interface (UI) Design, User Interface (UI), Application Design, Algorithms, Animations, Software Design Patterns, Color Theory, Debugging
状态：新您将获得的技能: Animations
University of London
您将获得的技能: Key Management, Security Management, Human Factors (Security), Application Security, Information Privacy, Cyber Governance, Infrastructure Security, Cryptography, Threat Modeling, Business Continuity Planning, OSI Models, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cyber Security Strategy, ISO/IEC 27001, Incident Response, Network Security, Statistical Analysis, Data Collection
您将获得的技能: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms
状态：新状态：预览您将获得的技能: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
状态：免费试用Vanderbilt University
您将获得的技能: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Plot (Graphics), Data-Driven Decision-Making, Statistics, Technical Communication, Statistical Inference, Graphing
状态：新状态：免费试用您将获得的技能: 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
您将获得的技能: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
您将获得的技能: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
总之，以下是 10 最受欢迎的 random forest 课程
- SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
- UI Components, Snippets & Theming: Packt
- Blender 4 Geometry Nodes Workshop - Jungle Vines: Packt
- Master of Science in Cyber Security: University of London
- Decision Tree Classifier for Beginners in R: Coursera
- Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
- From Data to Decisions: Finding Patterns with AI: Vanderbilt University
- Traverse Trees for ML with DFS & BFS: Coursera
- Classification Trees in Python, From Start To Finish: Coursera
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
