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Machine Learning for Predictive Maps in Python and Leaflet

Course Overview Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no …

Machine Learning for Predictive Maps in Python and Leaflet

Machine Learning for Predictive Maps in Python and Leaflet

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1 Year Access

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3 Students

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5 hours, 58 minutes

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Course Overview

Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no further; you’ve come to the right place!

Our easy-to-follow Machine Learning for Predictive Maps in Python and Leaflet will provide you with all the deep knowledge and insight you need to know about this topic. This comprehensive course has been broken down into several manageable modules, which we believe will assist you to easily grasp each concept – from the fundamental to the more advanced aspects of the course. 

Learn the most in-demand skills from the safety & comfort of your home. Enjoy the freedom to learn at your own comfortable pace and prepare yourself for the market of the future.

Learning Outcomes

Whether you are an aspiring professional or a complete beginner, this course will improve your expertise and boost your CV with key skills and an accredited certification attesting to your knowledge. 

Entry Requirement

    • This course is available to all learners of all academic backgrounds.
    • Learners should be aged 16 or over to undertake the qualification.
    • Some basic understanding of the English language and numeracy.  

Certification

After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can, however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £29 or in PDF format at the cost of £19.

    • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days

Why choose us?

      • Affordable, engaging & high-quality e-learning study materials;
      • Tutorial videos/materials from the industry-leading experts;
      • Study in a user-friendly, advanced online learning platform;
      • Efficient exam systems for the assessment and instant result;
      • The UK & internationally recognised accredited qualification;
      • Access to course content on mobile, tablet or desktop from anywhere, anytime;
      • The benefit of career advancement opportunities;
      • 24/7 student support via email.

Career path

Develop Your Career Plan is a useful qualification to possess and would be beneficial for any related profession or industry. 

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 00:08:00
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

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