Udemy

Machine Learning for Predictive Maps in Python and Leaflet

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  • 3,327 Students
  • Updated 6/2020
  • Certificate Available
4.2
(72 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 58 Minute(s)
Language
English
Taught by
EBISYS R&D
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.2
(72 Ratings)

Course Overview

Machine Learning for Predictive Maps in Python and Leaflet

Using the power of machine learning to build predictive map applications

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


Course Content

  • 8 section(s)
  • 32 lecture(s)
  • Section 1 Introduction
  • Section 2 Setup and Installations
  • Section 3 Writing the Django Server-Side Code
  • Section 4 Writing the Application Front-end Code
  • Section 5 Machine Learning
  • Section 6 Automating the Machine Learning Pipeline
  • Section 7 Leaflet Programming
  • Section 8 Project Source Code

What You’ll Learn

  • Web Mapping
  • Data Transformation and Manipulation
  • Python and GeoDjango
  • Geospatial Machine Learning
  • Data Mapping and Visualization
  • Web GIS Programming


Reviews

  • H
    Hori Nguyen
    1.0

    Had some questions about the course and the instructor never responded...can't really recommend this instructor in good faith lol

  • R
    Rey
    4.5

    I am carrying out the lessons in Linux and I have never used Django or PostgreSQL. I am doing well so far after seeking answers. I am not sure what I am doing at all but I will backfill it with more research later. It is working on my system as of now. Thank you.

  • Z
    Zainab Akhtar
    5.0

    This was a great course to learn more about how machine learning code can be integrated into Django.

  • P
    Paul BN
    5.0

    Great tutor covering some really valuable material. If you know some basic python (inc. pandas), javascript and html then this course covers some really interesting material. Of great interest to those who are interested in developing mapping applications.

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