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。

您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 沟通, 案例研究, 图表设计, 信息架构, 研究, 分析, 概率, 业务沟通, 样本量的确定, 演绎推理, 逻辑推理, 写作, 科学方法, 说服沟通, 批判性思维, 口头表达, 相关性分析, 互动学习, 抽样(统计)
初级 · 专项课程 · 3-6 个月

您将获得的技能: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance
初级 · 专项课程 · 3-6 个月
您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache
中级 · 专项课程 · 3-6 个月

University of Amsterdam
您将获得的技能: 定量研究, 数据分析, 统计推理, 科学与研究, 调查, 统计假设检验, 回归分析, 研究, 定性研究, 面试技巧, 数据收集, 统计分析, 研究方法, 统计, R 语言程序设计(中文版), 科学方法, 社会科学, 抽样(统计), 研究设计, 研究报告
初级 · 专项课程 · 3-6 个月

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
高级设置 · 专业证书 · 3-6 个月

University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
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中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 概率与统计, 描述性统计, 微积分, Machine Learning 方法, 统计推理, 统计假设检验, 统计分析, 数据预处理, 应用数学, 贝叶斯统计, 概率, 线性代数, 降维, 概率分布, 数值分析, NumPy, 机器学习, A/B 测试, 抽样(统计), 机器学习算法
中级 · 专项课程 · 1-3 个月
Duke University
您将获得的技能: 统计方法, 概率与统计, 同行评审, 数据分析, 统计推理, 统计建模, 统计假设检验, 回归分析, R(软件), 概率分布, 贝叶斯统计, 概率, 统计分析, 统计报告, R 语言程序设计(中文版), 统计, 数据分析软件, 抽样(统计), 探索性数据分析, 数据可视化
初级 · 专项课程 · 3-6 个月