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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-ds-project-crisp-dm/
课程评论：没有评论
**课程名称：** 使用 CRISP-DM 方法进行数据科学实践项目 **课程概述：** 本课程是一门实践性强的入门课程，旨在教授学员如何运用行业标准的数据科学流程框架 CRISP-DM 来完整地执行一个数据科学项目。CRISP-DM 框架将引导学员完成从理解业务需求到最终模型部署的所有环节。无论您是数据科学领域的初学者，还是希望提升技能的专业人士，本课程都将提供一个贴近真实项目流程的端到端实践体验。 **课程内容：** 课程将详细讲解 CRISP-DM 的每一个阶段，并使用 Python 演示数据探索、特征工程、模型训练和部署等关键技术。 * **业务理解 (Business Understanding):** 学习如何将业务挑战转化为可执行的数据科学目标。 * **数据准备 (Data Preparation):** 深入探讨数据清洗、探索性数据分析 (EDA) 以及高效的数据准备技术，为建模做好准备。 * **特征工程 (Feature Engineering):** 通过实际数据集，学习并应用特征工程技术，以提高模型的准确性和洞察力。 * **建模 (Modeling):** 学习选择、训练和评估机器学习算法，并通过优化技术构建稳健的解决方案。课程还将涵盖验证技术，以确保模型在生产环境中的性能和可靠性。 * **部署 (Deployment):** 介绍如何准备和部署模型，使其能够投入实际应用。 **学习目标：** 学完本课程后，学员将： * 对 CRISP-DM 框架有扎实的理解。 * 获得端到端数据科学项目的实践经验。 * 能够以结构化、系统化的方式处理数据科学项目。 * 增强在实际应用中运用数据科学技能的能力。
In this hands-on course, you'll learn how to execute a full data science project using the CRISP-DM framework, an industry-standard approach that guides you from understanding business needs to deploying your final model. Whether you're new to data science or seeking to expand your skill set, this course provides a practical, end-to-end experience that mirrors real-world project workflows.Throughout this mini-course, we'll cover each stage of CRISP-DM in detail, using Python to demonstrate essential techniques in data exploration, feature engineering, model training, and deployment. Starting with Business Understanding, you'll learn to translate business challenges into actionable data science objectives. Then, we'll dive into data preparation, exploring methods to clean and analyze data effectively, preparing it for modeling. You'll work with real datasets and apply feature engineering techniques to make your model more accurate and insightful.In the Modeling phase, we'll select, train, and evaluate machine learning algorithms, optimizing them to create a robust solution. You'll learn validation techniques to ensure your model's performance and reliability, even in production environments. Finally, in the Deployment phase, we'll cover how to prepare and deploy your model, so it's ready for real-world use.By the end of this course, you'll have a solid foundation in CRISP-DM and the hands-on experience to confidently approach data science projects in a structured, methodical way. Join us to build real-world data science skills and make an impact with your analyses!
