Machine Learning for Predictive Maps in Python and Leaflet

Using the power of machine learning to build predictive map applications

What you'll learn
Web Mapping
Data Transformation and Manipulation
Python and GeoDjango
Geospatial Machine Learning
Data Mapping and Visualization
Web GIS Programming

Requirements
Basic Understanding of Python
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is

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 visualization. All of our development will be done on windows 10.

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 basesmaps 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 back-end to the front-end of the application

You will learn how to integrate a PostgreSQL database with Django

You will also learn how to visualize data on a map

Who this course is for
Python Developers at any level
GIS Developers at any level
Developers at any level
Machine Learning engineers at any level
The curious mind