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：预览Ball State University
您将获得的技能: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization
Coursera
您将获得的技能: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Sampling (Statistics), Statistical Analysis, Business Analytics, Statistics, Quantitative Research, Data Analysis, Data Visualization, Statistical Methods, Data-Driven Decision-Making, Microsoft Excel, Analytical Skills, Descriptive Statistics, Probability Distribution, Influencing
状态：预览University of Leeds
您将获得的技能: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution
状态：预览University of Maryland, College Park
您将获得的技能: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
状态：预览University of Michigan
您将获得的技能: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms
状态：新状态：免费试用您将获得的技能: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
状态：预览Duke University
您将获得的技能: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics
状态：免费试用您将获得的技能: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation
状态：免费试用您将获得的技能: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
状态：预览École Polytechnique Fédérale de Lausanne
您将获得的技能: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
状态：预览University of Maryland, College Park
您将获得的技能: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
总之，以下是 10 最受欢迎的 random forest 课程
- Statistical Methods for Data Science: Ball State University
- SQL Mathematical Functions: Coursera
- Исследование и генерация данных для принятия бизн.-реш.: University of Illinois Urbana-Champaign
- Exploratory Data Analysis: University of Leeds
- Cómo combinar y analizar datos complejos: University of Maryland, College Park
- 파이썬의 응용 소셜 네트워크 분석: University of Michigan
- The Importance of Integrity: Google
- R을 사용한 확률 및 데이터 소개: Duke University
- Statistics & Mathematics for Data Science & Data Analytics: Packt
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
