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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