~Get Your Files Here !

  1. Introduction

   1. Introduction.srt

  2. Setup and Installations

   1. Python Installation.srt

   2. Creating a Python Virtual Environment.srt

   3. Installing Django.srt

   4. Installing Visual Studio Code IDE.srt

   5. Installing PostgreSQL Database Server Part 1.srt

   6. Installing PostgreSQL Database Server Part 2.srt

  3. Writing the Django Server-Side Code

   1. Adding the settings.py Code.srt

   2. Creating a Django Model.srt

   3. Adding the admin.py Code.srt

  4. Writing the Application Front-end Code

   1. Creating Template Files.srt

   2. Creating Django Views.srt

   3. Creating URL Patterns for the REST API.srt

   4. Adding the index.html code.srt

   5. Adding the layout.html code.srt

   6. Creating our First Map.srt

   7. Adding Markers.srt

  5. Machine Learning

   1. Installing Jupyter Notebook.srt

   2. Data Pre-processing.srt

   3. Model Selection.srt

   4. Model Evaluation and Building a Prediction Dataset.srt

  6. Automating the Machine Learning Pipeline

   1. Creating a Django Model.srt

   2. Embedding the Machine Learning Pipeline in the Application.srt

   3. Creating a URL Endpoint for our Prediction Dataset.srt

  7. Leaflet Programming

   1. Creating Multiple Basemaps.srt

   2. Creating the Marker Layer Group.srt

   3. Creating the Point Layer Group.srt

   4. Creating the Predicted Point Layer Group.srt

   5. Creating the Predicted High Risk Point Layer Group.srt

   6. Creating the Legend.srt

   7. Creating the Prediction Score Legend.srt

  8. Project Source Code