Python Programming: Build a Recommendation Engine in Django

سرفصل های دوره

Collaborative Filtering with Python, Celery, Django, Worker Processes, Batch Predictions, SurpriseML, Keras, and more!

1 - Introduction

1 - Welcome to Recommender

2 - Requirements InDepth Walkthrough

2 - celery with django blog post.zip

2 - course code on github.zip

2 - justinmitchel on twitter.zip

2 - live demo limited features.zip

2 - public discussion forum.zip

2 - youtube channel.zip

3 - Where to get help

4 - Setup Project

5 - Django as a ML Pipeline Orchestration Tool

2 - Handling the Dataset

6 - Generate Fake User Data

7 - Django Management Command to add Fake User Data

8 - Our Collaborative Filtering Dataset

9 - Load The Movies Dataset into the Movie Django Model

10 - Create Ratings Model with Generic Foreign Keys

3 - Running Calculations with Django

11 - Calculate Average Ratings

12 - Generate Movie Ratings

13 - Handling Duplicate Ratings with Signals

14 - Calculate Movie Average Rating Task

4 - Python Celery

15 - Setup Celery for Offloading Tasks

16 - Converting Functions into Celery Tasks

5 - Django Views Auth

17 - Movie List Detail View URLs and Templates

18 - Django AllAuth

19 - Update the Movie Ratings Task

6 - User Ratings

20 - Rendering Rating Choices

21 - Display a Users Ratings

7 - Dynamic Django with HTMX

22 - Dynamic Requests with HTMX

23 - Rate Movies Dynamically with HTMX

24 - Infinite Rating Flow with Django HTMX

25 - Rating Dataset Exports Model Task

8 - Jupyter Notebooks with Django

26 - Using Jupyter with Django

27 - Load Real Ratings to Fake Users

28 - Update Movie Data

29 - Recommendations by Popularity

9 - Machine Learning Collaborative Filtering

30 - What is Collaborative Filtering

31 - Collaborative Filtering with Surprise ML

32 - Surprise ML Utils Celery Task For Surprise Model Training

33 - Batch User Prediction Task

10 - Handling Predictions in Django

34 - Storing Predictions in our Suggestion Model

35 - Updating Batch Predictions Based on Previous Suggestions

36 - MLBased Movies Recommendations View

37 - Trigger ML Predictions Per User Activity

38 - Position Ranking for Movie Querysets

39 - Movie Embedding Idx Field and Task

40 - Movie Dataset Exports

41 - Schedule for ML Training ML Inference Movie IDX Updates and Exports

11 - Wrap Up

42 - Overview of a Neural Network Colab Filtering Model

43 - Thank you and next steps

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تولید کننده: Udemy-Training