Course curriculum

  1. 01
    • Introduction

    • Project Files

  2. 02
    • Python Installation

    • Creating a Python Virtual Environment

    • Installing Django

    • Installing Visual Studio Code IDE

    • Installing PostgreSQL Database Server Part 1

    • Installing PostgreSQL Database Server Part 2

  3. 03
    • Adding the settings.py Code

    • Creating a Django Model

    • Adding the admin.py Code

  4. 04
    • Creating Template Files

    • Creating Django Views

    • Creating URL Patterns for the REST API

    • Adding the index.html code

    • Adding the layout.html code

    • Creating our First Map

    • Adding Markers

  5. 05
    • Installing Jupyter Notebook

    • Data Pre-processing

    • Model Selection

    • Model Evaluation and Building a Prediction Dataset

  6. 06
    • Creating a Django Model

    • Embedding the Machine Learning Pipeline in the Application

    • Creating a URL Endpoint for our Prediction Dataset

  7. 07
    • Creating Multiple Basemaps

    • Creating the Marker Layer Group

    • Creating the Point Layer Group

    • Creating the Predicted Point Layer Group

    • Creating the Predicted High Risk Point Layer Group

    • Creating the Legend

    • Creating the Prediction Score Legend

  8. 08
    • Source Code and Notebook