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: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms
混合 · 课程 · 1-4 周

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, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 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

Arizona State University
您将获得的技能: 概率分布, 统计建模, 回归分析, 统计方法, 抽样(统计), 统计分析, 数据分析软件, 数据转换, 统计假设检验
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

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
University of Washington
您将获得的技能: 数据分析, 分类算法, 高级分析, 无监督学习, R 语言程序设计(中文版), 机器学习, 统计方法, 监督学习, 概率与统计, 统计机器学习, 大数据, 图论, 统计推理, 预测分析, 统计分析, 机器学习算法
混合 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
中级 · 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: HTML and CSS, JSON, Responsive Web Design, Ajax, Web Design and Development, Animations, Algorithms, Debugging
中级 · 课程 · 1-3 个月

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月