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3.55 out of 5
3.55
39 reviews on Udemy

Machine Learning for Predictive Maps in Python and Leaflet

Using the power of machine learning to build predictive map applications
Instructor:
EBISYS R&D
149 students enrolled
English [Auto]
Web Mapping
Data Transformation and Manipulation
Python and GeoDjango
Geospatial Machine Learning
Data Mapping and Visualization
Web GIS Programming

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

Introduction

1
Introduction

Setup and Installations

1
Python Installation
2
Creating a Python Virtual Environment
3
Installing Django
4
Installing Visual Studio Code IDE
5
Installing PostgreSQL Database Server Part 1
6
Installing PostgreSQL Database Server Part 2

Writing the Django Server-Side Code

1
Adding the settings.py Code
2
Creating a Django Model
3
Adding the admin.py Code

Writing the Application Front-end Code

1
Creating Template Files
2
Creating Django Views
3
Creating URL Patterns for the REST API
4
Adding the index.html code
5
Adding the layout.html code
6
Creating our First Map
7
Adding Markers

Machine Learning

1
Installing Jupyter Notebook
2
Data Pre-processing
3
Model Selection
4
Model Evaluation and Building a Prediction Dataset

Automating the Machine Learning Pipeline

1
Creating a Django Model
2
Embedding the Machine Learning Pipeline in the Application
3
Creating a URL Endpoint for our Prediction Dataset

Leaflet Programming

1
Creating Multiple Basemaps
2
Creating the Marker Layer Group
3
Creating the Point Layer Group
4
Creating the Predicted Point Layer Group
5
Creating the Predicted High Risk Point Layer Group
6
Creating the Legend
7
Creating the Prediction Score Legend
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

6 hours on-demand video
1 article
Certificate of Completion

About

AulaGEO is a Ge-engineering specialized academy.

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