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：免费试用您将获得的技能: Test Data
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Quantitative Research, Survey Creation, Sampling (Statistics), Business Research, Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality
状态：免费试用Johns Hopkins University
您将获得的技能: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：新状态：预览National Taiwan University
您将获得的技能: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
状态：新状态：预览Northeastern University
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
状态：新状态：预览Northeastern University
您将获得的技能: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
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
Universidad de los Andes
您将获得的技能: Social Network Analysis, Network Analysis, Data Storytelling, Predictive Modeling, Data Presentation, Strategic Decision-Making, Marketing Analytics, Financial Modeling, Sales Territory Management, Interactive Data Visualization, Transfer Learning, Applied Machine Learning, Data Cleansing, Matplotlib, Advertising, Statistical Machine Learning, Portfolio Management, Random Forest Algorithm, Operations Research, Process Optimization
状态：新状态：免费试用您将获得的技能: Data Visualization Software, Interactive Data Visualization, Application Development, Web Content Accessibility Guidelines, Color Theory
总之，以下是 10 最受欢迎的 random forest 课程
- Advanced Rust – Lifetimes, Iterators, Testing & Randomness: Packt
- Pesquisa de Mercado com Métodos Quantitativos: Fundação Instituto de Administração
- Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
- Data Science Fundamentals Part 2: Unit 2: Pearson
- 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- Data Science Fundamentals, Part 2: Pearson
- Data Science Fundamentals Part 2: Unit 3: Pearson
- Engineering Probability and Statistics Part 2: Northeastern University
- UI Components, Snippets & Theming: Packt
