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Overview

Learn how to multi-skill in programming and make a full stack web GIS application by taking this course on Machine Learning for Predictive Maps in Python and Leaflet. This comprehensive training will show you how to use the available tools and write code on the most widely-used programming language to make powerful forecasting applications.

This innovative Python tutorial provides an ideal way to learn how to use these versatile functions and essential technology to create unique and useful projects. To achieve this, you will be taught how to set up a predictive environment, write Django server-side code, enable machine learning capabilities, and perform intricate leaflet programming. The final results of the assigned project will allow you to produce even more impressive forecasting routines for all manner of uses.

When you complete this training, you will have mastered the fundamental skills and knowledge of machine learning on the most popular platforms, raising your IT profile to a greater level for employment and personal projects.

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Machine Learning for Predictive Maps in Python and Leaflet is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Section 01: Introduction
Introduction 00:10:00
Section 02: Setup and Installations
Python Installation 00:04:00
Creating a Python Virtual Environment 00:07:00
Installing Django 00:09:00
Installing Visual Studio Code IDE 00:06:00
Installing PostgreSQL Database Server Part 1 00:03:00
Installing PostgreSQL Database Server Part 2 00:09:00
Section 03: Writing the Django Server-Side Code
Adding the settings.py Code 00:07:00
Creating a Django Model 00:10:00
Adding the admin.py Code 00:21:00
Section 04: Writing the Application Front-end Code
Creating Template Files 00:10:00
Creating Django Views 00:10:00
Creating URL Patterns for the REST API 00:09:00
Adding the index.html code 00:04:00
Adding the layout.html code 00:19:00
Creating our First Map 00:10:00
Adding Markers 00:16:00
Section 05: Machine Learning
Installing Jupyter Notebook 00:07:00
Data Pre-processing 00:31:00
Model Selection 00:20:00
Model Evaluation and Building a Prediction Dataset 00:11:00
Section 06: Automating the Machine Learning Pipeline
Creating a Django Model 00:04:00
Embedding the Machine Learning Pipeline in the Application 00:42:00
Creating a URL Endpoint for our Prediction Dataset 00:06:00
Section 07: Leaflet Programming
Creating Multiple Basemaps 00:09:00
Creating the Marker Layer Group 00:10:00
Creating the Point Layer Group 00:12:00
Creating the Predicted Point Layer Group 00:07:00
Creating the Predicted High Risk Point Layer Group 00:12:00
Creating the Legend 00:09:00
Creating the Prediction Score Legend 00:15:00
Section 08: Project Source Code
Resource 00:00:00
Assignment
Assignment – Machine Learning for Predictive Maps in Python and Leaflet 00:00:00

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