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If you’re looking to expand your knowledge of machine learning and predictive maps, you’re in the right place. In this course, you’ll learn to install and set up the environment for machine learning development in Python and Leaflet. You’ll explore the principles of machine learning and how to apply them to develop predictive maps. You’ll write Django server-side and application front-end code for the project and acquire skills to automate the machine learning pipeline.
The course also covers Leaflet programming for map development and provides hands-on experience in developing a project source code. By the end of the course, you’ll be able to develop and present a portfolio of machine learning and map development projects.
This course provides an opportunity to develop expertise in machine learning and predictive map development. You’ll gain practical experience in writing Django server-side and application front-end code, automating the machine learning pipeline, and programming with Leaflet. Upon completion, you’ll be able to develop predictive maps that can be used for a variety of purposes, such as disaster management, resource allocation, and infrastructure planning.
The course also provides an opportunity to build a portfolio of machine learning and map development projects. This portfolio can serve as a valuable asset in demonstrating your skills and knowledge to potential employers. With the demand for machine learning and map development increasing across industries, this course will prepare you for a range of career opportunities in the field.
A CPD accredited Adams Diploma/Certificate certifies the skills you’ve learned.
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