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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-ai-agent-pyth-project-llm-finetuning-ollama-gpt-apps/
课程评论：没有评论
课程名称：掌握数据科学与人工智能（AI）使用Python及实际项目 简介：在“掌握数据科学与人工智能（AI）使用Python”这门综合性课程中，您将解决数据科学和人工智能的全部潜力。这是一门从初学者到高级用户的课程，旨在使您成为一名就业准备充分的数据科学家和AI开发者。无论您是刚开始编程之旅，还是希望提升技能并构建实际应用程序，本课程都涵盖了一切所需内容。 课程从Python基础入手，确保您掌握编程的基本知识以及关键库，如NumPy和Pandas。您将迅速学习如何高效操作和分析数据，包括访问、清洗和过滤DataFrames。接下来，您将学习如何用强大的图表和图形可视化您的洞察力，让数据生动起来。 课程深入数据科学的统计学，帮助您理解机器学习的基石。您将掌握模型开发和评估所需的核心统计概念。接下来，机器学习部分将涵盖监督学习和无监督学习，包括回归、二分类和多分类、聚类算法及降维技术，如t-SNE和PCA。 实践是本课程的核心。您将完成9个端到端项目，模拟真实行业场景： - 使用Pandas自动化业务流程 - 使用Google Apps分析大数据集 - 基于非负矩阵分解构建电影推荐引擎 - 开发和评估预测模型，使用先进技术 - 使用XGBoost和Streamlit构建和部署信用风险预测应用 - 使用Ollama、LangChain和Streamlit创建LLM驱动的AI应用，无需云支持 - 实施本地Python库以进行AI交互 本课程独特之处在于其对本地LLMs和AI自动化工具的重点探索。您将接触Ollama等前沿框架，通过Web UI、LM Studio与模型互动，甚至构建自己的AI代码助手和基于RAG的AI研究应用，从而为您提供开发、测试和部署现代AI系统所需的技能，无需依赖昂贵的API或云服务。 所有模块均结合理论、代码示例和实践练习，您不仅会获得技术知识，还将拥有展示您在Python编程、机器学习和AI领域专长的工作项目组合。 完成这门课程后，您将能够： - 自信地用Python编程 - 高效地分析、可视化和建模数据 - 从零开始理解和实施机器学习算法 - 构建展示您技能的实际项目 - 使用本地LLMs和工具（如Ollama和Streamlit）开发和部署AI应用 该课程非常适合有志于成为数据科学家、开发者和AI爱好者的人，尤其是希望构建实际的高影响力解决方案。如果您希望转入技术领域、提升技能或进入AI开发，这将是您所需的唯一课程。
Unlock the full potential of data science and artificial intelligence with "Mastering Data Science & AI with Python"-a comprehensive, beginner-to-advanced course designed to transform you into a job-ready data scientist and AI developer. Whether you're just starting your coding journey or looking to upskill and build real-world AI-powered applications, this course covers everything you need in one complete package.We begin with the fundamentals of Python, ensuring you're well-equipped with programming basics and critical libraries like NumPy and Pandas. You'll quickly progress to manipulating and analyzing data efficiently, including accessing, cleaning, and filtering DataFrames. Learn how to visualize your insights with powerful charts and graphs that bring your data to life.From there, you'll dive deep into statistics for data science, the cornerstone for understanding machine learning. You'll master core statistical concepts essential for model development and evaluation. The machine learning section then takes you through supervised and unsupervised learning-covering regression, binary and multiclass classification, clustering algorithms, and dimensionality reduction techniques like t-SNE and PCA.Hands-on practice is the heart of this course. You'll complete 9 end-to-end projects that simulate real industry scenarios:Automate business workflows with PandasAnalyze large datasets with Google AppsBuild a movie recommendation engine using Non-negative Matrix FactorizationDevelop predictive models and evaluate them using advanced techniquesBuild and deploy a credit risk prediction app with XGBoost and StreamlitCreate LLM-powered AI apps using Ollama, LangChain, and Streamlit-no cloud requiredImplement local Python libraries for AI interactionsWhat truly sets this course apart is its focus on local LLMs and AI automation tools. You'll explore cutting-edge frameworks like Ollama, interact with models through Web UI, LM Studio, and even build your own AI Code Assistant and RAG-based AI Research App-equipping you with the skills to develop, test, and deploy modern AI systems without relying on expensive APIs or cloud services.All modules are crafted with a blend of theory, code-alongs, and practical exercises. You'll walk away not only with technical knowledge but also a portfolio of working applications that showcase your expertise in Python programming, machine learning, and AI.By the end of this course, you will be able to:Code in Python with confidenceAnalyze, visualize, and model data effectivelyUnderstand and implement ML algorithms from scratchBuild real-world projects that demonstrate your skillsDevelop and deploy AI apps using local LLMs and tools like Ollama and StreamlitThis course is ideal for aspiring data scientists, developers, and AI enthusiasts eager to build practical, high-impact solutions. If you're looking to transition into tech, upgrade your skills, or break into AI development, this is the only course you'll need.
