Platform for starters in the geo sector
200 courses, 20 online supports, 60 moocs,
10 work to work trajectories,
30 trainees
MOOC: Machine Learning for predictive maps in Python and Leaflet
Description
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 experience with 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 visualisation. All of our development will be done on windows 10.
Learning objectives during this course:
- You will learn how to build a full stack web gis application
- You will learn how to build predictive models
- You will learn how to build a prediction engine that's embedded in the application
- You will learn how to build and automate a machine learning pipeline
- You will learn how to use multiple bases-maps and layers
- You will learn programming in leaflet.js
- You will learn how to create REST API endpoints and call them with Ajax and JQUERY
- You will learn how to use the Django template engine to pass data from the backend to the frontend of the application
- You will learn how to integrate a postgresql database with Django
- You will also learn how to visualise data on a map
- Yes, I want to do this MOOC
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