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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-for-predictive-maps-in-python-and-leaflet/
课程评论：没有评论
**课程名称：** 使用Python和Leaflet进行预测地图的机器学习 **课程概述：** 本课程将带领您构建一个地震预测地图应用程序。我们将运用一系列独立的工具，并将它们集成，最终开发出一个全栈式Web GIS应用程序。您将有机会接触多种编程语言，从而深入了解应用程序的不同技术栈及工具。课程涵盖的主题广泛，包括Web GIS、Python编程、数据分析、机器学习以及地理空间数据可视化。所有开发工作将在Windows 10环境下进行。 **您将学到：** * 如何构建一个全栈式Web GIS应用程序。 * 如何构建预测模型。 * 如何构建一个嵌入在应用程序中的预测引擎。 * 如何构建并自动化机器学习流程。 * 如何使用多个底图和图层。 * Leaflet.js编程。 * 如何创建REST API端点，并通过Ajax和JQUERY调用它们。 * 如何使用Django模板引擎将后端数据传递到应用程序前端。 * 如何将PostgreSQL数据库与Django集成。 * 如何在地图上可视化数据。
Welcome to the Machine Learning for Predictive Maps in Python and Leaflet course. In this course we will be building a earthquake forecasting map application,by using a variety of independent tools and then integrate them to produce a full stack web gis application.We will be writing code in multiple programming languages, which gives us experiencewith different stacks of an application and different tools.We will be covering various topics ranging from web gis, python programming, data analysis,machine learning and geo data visualization. All of our development will be done on windows 10.You will learn how to build a full stack web gis applicationYou will learn how to build predictive modelsYou will learn how to build a prediction engine that's embedded in the applicationYou will learn how to build and automate a machine learning pipelineYou will learn how to use multiple basesmaps and layersYou will learn programming in leaflet.jsYou will learn how to create REST API endpoints and call them with Ajax and JQUERYYou will learn how to use the Django template engine to pass data from the back-end to the front-end of the applicationYou will learn how to integrate a PostgreSQL database with DjangoYou will also learn how to visualize data on a map
