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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/matlab-capstone
课程评论：没有评论
课程名称：数据科学项目：现实世界中的MATLAB 概述：在数据科学领域，实践是提高技能的关键。在这个顶点项目中，您将应用在“MATLAB实用数据科学”专业课程中所学的技能，探索、处理、分析和建模数据。您将根据提供的数据选择自己的路径，以回答关键问题。完成该项目需要掌握专业课程中涵盖的技能，项目将测试您导入和探索数据、准备数据进行分析、训练预测模型、评估和改进模型以及沟通结果的能力。 课程大纲： 1. 导入和探索数据 - 描述：在本模块中，您将了解顶点项目的目标，并完成准备数据集和进行探索性分析的初始任务。 2. 创建和评估特征 - 描述：在本模块中，您将进行特征工程，创建响应变量并研究特征与响应变量之间的关系。 3. 应用机器学习 - 描述：在本模块中，您将执行机器学习，训练和定制各种模型。通过使用验证数据和常见评估指标，选择最适合该问题的模型。 4. 交流您的结果 - 描述：在本模块中，您将学习创建数据科学故事的框架，了解为目标受众制作叙述的重要性，以及创建有意义的可视化的技巧。
Name:Import and Explore the Data
Description:In this module you'll be introduced to the goals of the capstone project. You will complete the initial task of preparing a data set and performing an exploratory analysis.
Name:Create and Evaluate Features
Description:In this module you'll perform feature engineering. You'll create a response variable and investigate the relationships between features and the response variable.
Name:Apply Machine Learning
Description:In this module you will perform machine learning. You'll train and customize various models. Using validation data and common evaluation metrics you'll choose the most appropriate model for the problem.
Name:Communicate Your Results
Description:In this module, you'll learn a framework for creating a data science story and the importance of crafting your narrative for the intended audience, along with tips for creating meaningful visualizations.
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data. To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data, prepare the data for analysis, train a predictive model, evaluate and improve your model, and communicate your results.
