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所在平台: Udemy |
课程主页: https://www.udemy.com/course/feature-enginneering-machine-learning-through-mcqs-part-1/
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课程名称：特征工程与机器学习通过多项选择题（第一部分） 概述： 特征工程是将原始数据转化为有意义特征的重要过程，这些特征可以输入到机器学习模型中，是机器学习流程中的关键步骤，直接影响模型的性能。在这门基础课程中，您将深入探讨特征工程的基本概念和技术。 主要内容： 1. 数据预处理： - 处理缺失值 - 异常值检测与处理 - 数据规范化与标准化 2. 特征选择： - 过滤方法 - 包装方法 - 嵌入方法 3. 特征提取： - 主成分分析（PCA） - t-SNE - 文本数据的特征工程（TF-IDF，词嵌入） - 图像数据的特征工程（卷积特征） 4. 特征变换： - 多项式特征 - 交互特征 - 特征离散化 5. 模型评估： - 回归和分类问题的关键指标 - 交叉验证技术 为什么选择这门课程？ - 掌握基础知识：深入理解特征工程的原则。 - 提升模型性能：学习如何创建有信息量的特征以提高模型精度。 - 实际应用：通过真实案例研究运用所学知识。 - 为数据科学职位做好准备：培养顶级公司所需的技能。 无论您是初学者还是有经验的数据科学家，这门课程都将为您提供在特征工程和机器学习领域中取得成功的工具。现在就注册，开始您成为数据驱动专家的旅程！
Feature Engineering and Machine Learning: Part 1Unlock the Power of Data with Feature EngineeringFeature engineering is the art of transforming raw data into meaningful features that can be fed into machine learning models. It's a crucial step in the machine learning pipeline, as it directly impacts the performance of your models.In this foundational course, you'll delve into the essential concepts and techniques of feature engineering.Key Topics Covered:Data Preprocessing:Handling missing valuesOutlier detection and treatmentData normalization and standardizationFeature Selection:Filter methodsWrapper methodsEmbedded methodsFeature Extraction:Principal Component Analysis (PCA)t-SNEFeature engineering for text data (TF-IDF, word embeddings)Feature engineering for image data (convolutional features)Feature Transformation:Polynomial featuresInteraction featuresFeature discretizationModel Evaluation:Key metrics for regression and classification problemsCross-validation techniquesWhy Take This Course?Master the Fundamentals: Gain a solid understanding of feature engineering principles.Enhance Model Performance: Learn how to create informative features that improve model accuracy.Practical Applications: Explore real-world case studies to apply your knowledge.Prepare for Data Science Roles: Develop the skills sought after by top companies.Whether you're a beginner or an experienced data scientist, this course will equip you with the tools to excel in feature engineering and machine learning.Enroll now and start your journey to becoming a data-driven expert!
