Scikit-learn 课程可以帮助您学习数据预处理、模型选择、分类技术和 Regression 分析。您可以掌握评估模型性能、Feature Engineering 和实施机器学习管道的技能。许多课程都会介绍 Jupyter Notebook 和 Python 库等工具,这些工具支持在实际项目中应用这些技能。

IBM
您将获得的技能: Python 程序设计, 数据可视化软件, GitHub, Open Source 技术, 应用编程接口 (API), 大数据, 版本控制, 机器学习, Git(版本控制系统), 数据科学, 计算机编程工具, R 语言程序设计(中文版), 其他编程语言, 云计算, 模型部署, Jupyter, R(软件)
初级 · 课程 · 1-3 个月

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

University of Colorado Boulder
您将获得的技能: 教育软件和技术, 化学, 生物学, 同行评审, 课程规划, 网页内容无障碍指南, 研究, 教学法, 用户反馈, 模拟和模拟软件, 数字教学法, 显示设备, 设计策略, 物理学, 实验, 教学策略, 模拟, 数学教育, 教学, 互动设计
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
中级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: Python 程序设计, 生物学, 数据结构, 生物信息学, 编程原则, 计算思维
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Programming Principles, Databases, Game Design, Development Environment, Data Science, Web Applications, Animation and Game Design, Application Frameworks, Scripting, Scripting Languages, Software Design Patterns, Functional Design, Data Validation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Apache Hadoop, 数据预处理, PySpark, 数据处理, 模型评估, 机器学习, 数据管道, 回归分析, 监督学习, 预测建模, 应用机器学习, 生成式人工智能, Apache Spark, 无监督学习, 摘录
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Python 程序设计, 文件输入/输出, 数据结构, 软件包和软件管理, 计算逻辑, 编程原则, 生物信息学, 面向对象编程(OOP), 数据操作, Jupyter
混合 · 课程 · 1-4 周

Deep Teaching Solutions
您将获得的技能: Prompt Engineering, Multimodal Prompts, Creative Thinking, ChatGPT, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks, Technical Communication
初级 · 课程 · 1-4 周