|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/spatial-data-visualization-and-machine-learning-in-python/
课程评论：没有评论
Coursera 课程《Python 中的空间数据可视化与机器学习》在线课程摘要 本课程将指导您使用 Python 和 Bokeh 库构建一个空间数据分析仪表板。Bokeh 是一个强大的数据可视化库，能够创建广泛的交互式图表和仪表板，并将 Python 代码转换为可以在服务器上托管并在 Web 浏览器中显示的 HTML 和 JavaScript 代码。 课程内容包括： * **数据分析与处理**: * 使用 Jupyter Notebook 进行数据分析。 * 学习如何处理、清洗和转换数据。 * **空间数据可视化**: * 深入学习 Bokeh 库，掌握其各种图表类型，并了解如何将数据可视化到地图和图表中。 * 学习基础的地理绘图技术。 * **机器学习与预测**: * 利用地理空间数据进行机器学习。 * 构建预测模型，并将其预测结果与数据集一同可视化。 * **仪表板构建与部署**: * 学习如何构建分析仪表板。 * 学习如何创建一个轻量级服务器来托管仪表板，并通过 URL 访问。 完成本课程后，您将能够熟练使用 Python 和 Bokeh 进行空间数据的可视化、分析和预测，并能构建和部署交互式的数据分析仪表板。
Welcome to the 'Spatial Data Visualization and Machine Learning in Python' course.In this course we will be building a spatial data analytics dashboard using bokeh and python.Bokeh is a very powerful data visualization library that is used for building a wide rangeof interactive plots and dashboards using the python programming language. It also converts python code into html and JavaScript code, which allows plots to be hosted on servers and displayed in web browsers.We be building a predictive model that we will use to do a further analysis, on our data and plot it's forecast results alongside the dataset that we will be focusing on.We will be visualizing our data in a variety of bokeh charts, which we will explore in depth. Once we understand each plot in depth, we will be equipped with the knowledge to build a dashboard that we will use to analyze our data.And once we have built our dashboard, we will then create a lightweight server that we will use to serve our dashboard and make it accessible via a URL.You will learn how to visualize spatial data in maps and chartsYou will learn data analysis using jupyter notebookYou will learn how to manipulate, clean and transform dataYou will learn how to use the Bokeh libraryYou will learn machine learning with geospatial dataYou will learn basic geo mappingYou will learn how to create dashboards
