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所在平台: Udemy |
课程主页: https://www.udemy.com/course/full-machine-learning-projects/
课程评论：没有评论
**课程名称：端到端数据科学项目（阿拉伯语）** **课程概述：** 这是一门独特的“端到端数据科学项目”课程，旨在通过阿拉伯语提供丰富的内容，涵盖机器学习项目的完整流程，从数据采集开始，直至模型部署和托管。课程内容全面、互动性强且侧重实践应用，提供详尽深入的讲解。 **先修知识：** 学员应具备Python基础知识、数据分析基础、机器学习基础以及机器学习算法的知识（可参考作者的机器学习与数据科学文凭课程）。 **适合人群：** 本课程适合初学者以及对数据科学、数据分析、机器学习和人工智能感兴趣的任何人，通过完整的真实世界项目进行演示，覆盖从头到尾的整个过程。 **课程内容：** * Python Anaconda 环境设置 * 探索性数据分析 (EDA) * 数据可视化（单变量、双变量、多变量） * 数据预处理 * 特征工程 * 模型构建 * 模型调优 * 使用 Flask 部署 * 使用 FastAPI 部署 * Heroku 托管 **具体项目及模型：** * 房屋价格预测 * 线性回归模型 * Ridge 模型 * Lasso 模型 * ElasticNet 模型 * 多项式回归 * 随机梯度回归 * K-近邻回归 * 随机森林回归 * 极端梯度提升回归 (XGBoost) * Grid Search 交叉验证 * Random Search 交叉验证 **课程价值：** 无论您是人工智能爱好者、开发者还是数据科学家，本课程都将为您提供构建端到端数据科学项目所需的知识和实践技能，助您脱颖而出。 **立即加入，开启一段充实的学习旅程，迈向精通端到端数据科学项目之路！立即报名！**
This is "End-to-End Data Science Project" a unique course that enriches Arabic content, covering machine learning projects from start to finish - beginning with data acquisition and ending with model deployment and hosting. The training is comprehensive, interactive, and application-focused, providing thorough and detailed explanations.Participants should have a basic understanding of Python fundamentals, data analysis basics, machine learning fundamentals, and machine learning algorithms (you can obtain our Machine Learning and Data Science diploma). The course is suitable for beginners and anyone interested in data science, data analysis, machine learning, and artificial intelligence, demonstrated through complete real-world projects from start to finish.This course takes you from ground zero, covering Python Anaconda environment setup, exploratory data analysis (EDA), data visualization (univariate, bivariate, and multivariate), data preprocessing, feature engineering, model building, model tuning, and deployment using Flask and FastAPI. Additionally, it includes hosting on Heroku.What we will explore:Python Anaconda EnvironmentExploratory Data Analysis (EDA)Data VisualizationUnivariate VisualizationBivariate VisualizationMultivariate VisualizationData PreprocessingFeature EngineeringBuilding ModelsModels TuningDeployment using FlaskDeployment using FastAPIHeroku HostingHouses Prices PredictionLinear Regression ModelRidge ModelLasso ModelElasticNet ModelPolynomial RegressionStochastic Gradient RegressionK-Nearest Neighbors RegressionRandom Forest RegressionExtreme Gradient Boosting Regression (XGBoost)Grid Search Cross-ValidationRandom Search Cross-ValidationWhether you're an AI enthusiast, developer, or data scientist, this course will empower you with the knowledge and practical skills necessary to excel in building end-to-end data science projects.Join us now and embark on an enriching learning journey that will set you on the path to mastering building end-to-end data science projects. Enroll today!
