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: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
中级 · 课程 · 1-3 个月
Stanford University
您将获得的技能: 概率分布, 统计建模, 机器学习, 统计方法, 贝叶斯网络, 应用机器学习, 马尔可夫模型, 机器学习算法, 网络分析, Algorithm
高级设置 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: 分类算法, 机器学习, 数据清理, 数据预处理, 无监督学习, Scikit-learn (机器学习库), 监督学习, 随机森林算法, 降维, 预测建模, Python 程序设计, 应用机器学习, 数据转换, 人工神经网络
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
中级 · 课程 · 3-6 个月

Duke University
您将获得的技能: 概率分布, 描述性统计, R 语言程序设计(中文版), 数据分析, 贝叶斯统计, R(软件), 概率, 抽样(统计), 统计推理, 统计分析, 统计, 探索性数据分析
初级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
初级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: 概率分布, 微软Excel, 工艺优化, 回归分析, 谷歌工作表, 业务建模, Excel 公式, 统计方法, 分析, 模拟和模拟软件, 预测分析, 决策树学习, 风险分析, 金融建模, 电子表格软件, 预测, 数据分析软件, 运筹学
混合 · 课程 · 1-4 周