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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-data-science-ml-build-real-world-projects/
课程评论：没有评论
**课程名称：** 数据科学与机器学习基础：构建你的第一个人工智能模型 **课程概述：** 本课程是面向零基础学习者的数据科学和机器学习入门课程。无论您对数据科学感到好奇，还是对“回归”、“分类”、“模型”等机器学习术语感到畏惧，本课程都将是您进入这个充满活力且需求旺盛领域的完美起点。课程将带领您从零开始，通过真实世界的案例、 the hands-on 项目和循序渐进的指导，帮助您 confidently 理解和应用核心的数据科学与机器学习概念。无需任何 coding 或数学基础。 **课程内容：** * 理解数据科学和机器学习的实际含义及其在各行业的应用。 * 掌握数据分析和机器学习所需的 Python 基础知识（提供 beginner-friendly 课程）。 * 学习如何清洗、探索和可视化数据。 * 了解核心机器学习技术，如回归、分类和聚类。 * 学习构建和评估您的第一个机器学习模型。 * 培养数据科学思维方式，学会如何利用数据解决问题。 **课程工具：** * Python (通过 Jupyter Notebooks) * Pandas, NumPy, Matplotlib, Scikit-learn * 简单的、指导性的 coding 练习和 mini-projects **适合人群：** * 没有任何数据或 coding 经验的 absolute beginners。 * 对数据科学感到好奇的学生、职业转型者和专业人士。 * 有志于成为数据科学家、分析师和机器学习工程师的人员。 * 希望为更高级的机器学习或人工智能课程打下坚实基础的任何人。 **课程目标：** * 理解关键数据科学和机器学习术语。 * 编写基础的 Python 代码来处理数据任务。 * 创建和评估简单的机器学习模型。 * confidently 迈出通往数据科学职业生涯的下一步。 **立即开始您的数据科学之旅，在这个技术、人工智能和分析的世界中解锁新的机会！**
Kickstart Your Journey into the World of Data Science & Machine Learning - No Experience Needed!Are you curious about data science but not sure where to start? Do machine learning terms like "regression," "classification," or "models" sound intimidating? This beginner-friendly course is your perfect launchpad into the exciting and high-demand world of data!In Data Science & ML Fundamentals: Build Your First AI Model, we take you from absolute zero to confidently understanding and applying core data science and machine learning concepts using real-world examples, hands-on projects, and step-by-step guidance - no prior coding or math experience required. What You'll LearnWhat data science and machine learning really are - and how they're transforming industriesKey Python skills for data analysis and ML (with beginner-friendly lessons)How to clean, explore, and visualize dataCore machine learning techniques (regression, classification, clustering)Building and evaluating your first ML modelsHow to think like a data scientist - solve problems using data! Tools You'll UsePython (via Jupyter Notebooks)Pandas, NumPy, Matplotlib, Scikit-learnSimple, guided coding exercises and mini-projects Who This Course is ForAbsolute beginners with no prior experience in data or codingStudents, career changers, and professionals curious about data scienceAspiring data scientists, analysts, and machine learning engineersAnyone looking to build a solid foundation for advanced ML or AI courses By the End of This Course, You'll Be Able To:Understand key data science and ML terminologyWrite basic Python code for data tasksCreate and evaluate simple machine learning modelsTake the next confident step toward a data science careerDon't wait for the perfect time - start your data science journey today and unlock new opportunities in the world of tech, AI, and analytics!
