About This Course
Course Curriculum
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Introduction
00:10:00
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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
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Adding the settings.py Code
00:07:00 -
Creating a Django Model
00:10:00 -
Adding the admin.py Code
00:21:00
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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
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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
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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
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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
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Resource