Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术,以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具,这些工具支持应用机器学习概念和 Visualization 数据,以获得可行的见解。

Scrimba
您将获得的技能: Python Programming, Programming Principles, Data Structures, Computer Programming, Computational Thinking, Web Development Tools, Web Development, Software Engineering
中级 · 课程 · 1-4 周

Fred Hutchinson Cancer Center
您将获得的技能: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Development Environment, Test Automation, Automation, Debugging, YAML
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: 生成式人工智能, 人工智能, 自然语言处理, 法律技术, 经济学, 负责任的人工智能, 信息隐私, 大型语言建模, ChatGPT, 数据伦理, 社会影响
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 网页内容无障碍导则, 教学法, 同行评审, 模拟和模拟软件, 教育软件和技术, 研究, 教学策略, 数学教育, 教学
初级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Data Preprocessing, Scikit Learn (Machine Learning Library), NumPy, Unstructured Data, Applied Machine Learning, Matplotlib, Natural Language Processing, Semantic Web, Pandas (Python Package), Dimensionality Reduction, Machine Learning Methods, Scripting, Model Evaluation, Text Mining, Data Transformation, Machine Learning, Data Visualization
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 统计分析, 数据分析, 探索性数据分析, 数据清理, Pandas(Python 软件包), 回归分析, 模型评估, 数据转换, Matplotlib, Python 编程, 预测建模, 数据导入/导出, 数据可视化, 数据预处理, NumPy, 预测分析, 数据操作, 功能工程, Model Evaluation, Scikit Learn(机器学习库)
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: 监督学习, 文本挖掘, 社交网络分析, Pandas(Python 软件包), Python 编程, 模型评估, 科学可视化, 交互式数据可视化, Matplotlib, 自然语言处理, 图论, NumPy, 可视化(计算机制图), 数据预处理, 数据可视化, 数据操作, 数据可视化软件, 功能工程, 网络分析, 应用机器学习, Model Evaluation
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 机器学习, 数据分析, Virtual Machine, 卷积神经网络, 负责任的人工智能, 监督学习, 模型评估, 数据处理, 数据转换, 数据预处理, 信息隐私, 迁移学习, 虚拟机, 分类算法, 分布式计算, 数据管道, 模型部署, Model Evaluation, 机器学习软件, 数据伦理, 图像分析, 张力流, Transfer Learning
中级 · 专业证书 · 3-6 个月

Coursera
您将获得的技能: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis
中级 · 课程 · 1-4 周

AI CERTs
您将获得的技能: Responsible AI, Predictive Modeling, Data Analysis, Research, AI Product Strategy, Statistical Analysis, Data Preprocessing, Data Science, Research Methodologies, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Generative AI, Research and Design, Research Reports, Ethical Standards And Conduct, Qualitative Research, Emerging Technologies
中级 · 课程 · 1-3 个月

您将获得的技能: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
中级 · 课程 · 1-4 周