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Learn how to make a genuine difference in your life by taking our popular Machine Learning for Predictive Maps in Python and Leaflet Course. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Machine Learning for Predictive Maps in Python and Leaflet to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Machine Learning for Predictive Maps in Python and Leaflet provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
By completing the training in Machine Learning for Predictive Maps in Python and Leaflet, you will be able to significantly demonstrate your acquired abilities and knowledge of Machine Learning for Predictive Maps in Python and Leaflet. This can give you an advantage in career progression, job applications, and personal mastery in this area.
This course is designed to provide an introduction to Machine Learning for Predictive Maps in Python and Leaflet and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Once you have completed all the modules in the Machine Learning for Predictive Maps in Python and Leaflet course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Machine Learning for Predictive Maps in Python and Leaflet course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
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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