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: 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
您将获得的技能: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
状态：免费试用Vanderbilt University
您将获得的技能: Data Presentation, Regression Analysis, Statistical Analysis, Statistical Reporting, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, Statistical Modeling
状态：免费试用O.P. Jindal Global University
您将获得的技能: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
状态：免费试用University of Washington
您将获得的技能: Python 程序设计, 模型评估, 数据预处理, 监督学习, 统计建模, 回归分析, 预测建模, Algorithm, 功能工程, 机器学习
状态：免费试用Imperial College London
您将获得的技能: Python 程序设计, 无监督学习, 数据预处理, 微积分, 降维, 统计, 线性代数, Jupyter, 功能工程, NumPy, 高等数学
状态：新状态：免费试用您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
状态：免费试用University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
您将获得的技能: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Python 程序设计, 模型评估, 决策树学习, Scikit-learn （机器学习库）, 工艺优化, 数据预处理, 回归分析, 监督学习, 机器学习算法, 性能分析, 数据处理, 功能工程, Jupyter, 业务解决方案, 应用机器学习, 分类算法, 机器学习
状态：免费试用IBM
您将获得的技能: 数据分析, 无监督学习, Scikit-learn （机器学习库）, 数据预处理, 降维, 文本挖掘, 机器学习算法, 功能工程, 数据科学, 机器学习, Algorithm, 大数据
状态：新状态：预览您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
总之，以下是 10 最受欢迎的 random forest 课程
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- Machine Learning with PySpark: Customer Churn Analysis: Coursera
- From Data to Decisions: Making Predictions with AI: Vanderbilt University
- Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- 机器学习回归: University of Washington
- 机器学习数学PCA: Imperial College London
- Linear Regression & Supervised Learning in Python: EDUCBA
- Applied Unsupervised Learning in Python: University of Michigan
- Graduate Admission Prediction with Pyspark ML: Coursera
- 机器学习算法：监督学习从头到尾: Alberta Machine Intelligence Institute
