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。

Google Cloud
您将获得的技能: Google 云端平台, 模型评估, 数据预处理, 逻辑回归, Apache Spark, 预测建模, 应用机器学习, 大数据
中级 · 项目 · 不超过 2 小时

Vanderbilt University
您将获得的技能: Data Presentation, Regression Analysis, Generative AI, Statistical Methods, Data Literacy, Statistical Analysis, Statistical Reporting, Data-Driven Decision-Making, Correlation Analysis, Technical Communication, Data Visualization, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Scatter Plots, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots
初级 · 专项课程 · 1-3 个月

University of California San Diego
您将获得的技能: Python 程序设计, 数据预处理, MLOps(机器学习 Operator), 数据操作, 预测建模, 模型部署, 应用程序部署, Flask(网络框架), 机器学习, 网络应用, Django (网络框架)
混合 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
中级 · 课程 · 1-3 个月

您将获得的技能: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
初级 · 专项课程 · 3-6 个月

您将获得的技能: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
混合 · 课程 · 1-4 周

Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
初级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
初级 · 课程 · 1-3 个月

University of California San Diego
您将获得的技能: 统计方法, Scikit-learn (机器学习库), 张力流, 数据预处理, 回归分析, 监督学习, 数据操作, 预测分析, 逻辑回归, 功能工程, 设计思维, 数据清理, 预测建模, 应用机器学习, 分类算法, 机器学习算法
中级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Prompt Engineering, Plot (Graphics), Data Visualization, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Data Visualization Software, Data Analysis, Natural Language Processing
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Classification Algorithms
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中级 · 课程 · 1-3 个月