Python 机器学习课程可以帮助您学习数据操作、算法实现、模型评估和 Feature Selection。您可以掌握数据 Visualization、超参数调整和理解 Neural Network 的技能。许多课程都会介绍 TensorFlow、Scikit-learn 和 Pandas 等工具,这些工具支持将您的技能应用到实际项目中,使您能够创建预测模型并有效分析复杂的数据集。

Nanjing University
您将获得的技能: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Manipulation, Matplotlib, User Interface (UI) Design
初级 · 课程 · 1-3 个月

National Taiwan University
您将获得的技能: Feature Engineering, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Classification Algorithms, Machine Learning, Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Model Evaluation, Dimensionality Reduction, Logistic Regression, Regression Analysis
中级 · 课程 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周

Rice University
您将获得的技能: Python 程序设计, 数据结构, 脚本, 文件输入/输出, 脚本语言, 计划发展, 调试, 数据存储, 开发环境
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, User Interface (UI), Application Development, Python Programming, Application Design, Data Science, Application Deployment, User Interface (UI) Design
初级 · 课程 · 1-3 个月

您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
中级 · 课程 · 1-4 周

Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
初级 · 课程 · 1-4 周

Arizona State University
您将获得的技能: 生产率, 压力管理, 学习策略, 自我意识, 创造力, 解决问题, 人类学习, 坚持不懈, 精神集中, 时间管理, 愿意学习
初级 · 课程 · 1-4 周

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

Google Cloud
您将获得的技能: 机器学习, 可扩展性, 分布式计算, 张力流, 模型评估, 系统设计, Google 云端平台, 系统架构, 模型部署, 混合云计算, MLOps(机器学习 Operator), 性能调整
高级设置 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 数据结构, 数据操作, 描述性统计, 统计分析, Matplotlib, 关系数据库, SQL, 会计, Jupyter, Seaborn, 数据分析软件, Pandas(Python 软件包), 回归分析, 数据库管理, 数据预处理, NumPy, 数据可视化, 分析
攻读学位
中级 · 课程 · 1-3 个月