[TutsNode.net] - Python Programming Build a Recommendation Engine in Django
9 - Machine Learning Collaborative Filtering
32 - Surprise ML Utils Celery Task For Surprise Model Training.mp4
266.40 MB
33 - Batch User Prediction Task.mp4
141.82 MB
30 - What is Collaborative Filtering.mp4
134.61 MB
31 - Collaborative Filtering with Surprise ML.mp4
67.35 MB
1 - Introduction
2 - Celery with Django Blog Post.txt
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2 - Course Code on Github.txt
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2 - justinmitchel on Twitter.txt
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2 - Live demo limited features.txt
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2 - Public Discussion Forum.txt
0.06 KB
2 - YouTube Channel.txt
0.04 KB
2 - Requirements InDepth Walkthrough.mp4
194.80 MB
4 - Setup Project.mp4
69.92 MB
1 - Welcome to Recommender.mp4
53.62 MB
3 - Where to get help.mp4
28.39 MB
5 - Django as a ML Pipeline Orchestration Tool.mp4
11.12 MB
7 - Dynamic Django with HTMX
25 - Rating Dataset Exports Model Task.mp4
250.78 MB
23 - Rate Movies Dynamically with HTMX.mp4
160.34 MB
22 - Dynamic Requests with HTMX.mp4
155.66 MB
24 - Infinite Rating Flow with Django HTMX.mp4
126.88 MB
11 - Wrap Up
42 - Overview of a Neural Network Colab Filtering Model.mp4
235.43 MB
43 - Thank you and next steps.mp4
44.56 MB
8 - Jupyter Notebooks with Django
28 - Update Movie Data.mp4
218.38 MB
29 - Recommendations by Popularity.mp4
203.08 MB
27 - Load Real Ratings to Fake Users.mp4
140.67 MB
26 - Using Jupyter with Django.mp4
68.46 MB
10 - Handling Predictions in Django
40 - Movie Dataset Exports.mp4
210.96 MB
36 - MLBased Movies Recommendations View.mp4
178.58 MB
34 - Storing Predictions in our Suggestion Model.mp4
156.11 MB
35 - Updating Batch Predictions Based on Previous Suggestions.mp4
146.10 MB
39 - Movie Embedding Idx Field and Task.mp4
129.09 MB
41 - Schedule for ML Training ML Inference Movie IDX Updates and Exports.mp4
121.70 MB
37 - Trigger ML Predictions Per User Activity.mp4
104.93 MB
38 - Position Ranking for Movie Querysets.mp4
86.23 MB
6 - User Ratings
21 - Display a Users Ratings.mp4
179.79 MB
20 - Rendering Rating Choices.mp4
71.26 MB
5 - Django Views Auth
19 - Update the Movie Ratings Task.mp4
175.60 MB
17 - Movie List Detail View URLs and Templates.mp4
161.68 MB
18 - Django AllAuth.mp4
92.65 MB
4 - Python Celery
16 - Converting Functions into Celery Tasks.mp4
166.22 MB
15 - Setup Celery for Offloading Tasks.mp4
126.58 MB
3 - Running Calculations with Django
13 - Handling Duplicate Ratings with Signals.mp4
129.12 MB
12 - Generate Movie Ratings.mp4
127.43 MB
14 - Calculate Movie Average Rating Task.mp4
122.82 MB
11 - Calculate Average Ratings.mp4
119.37 MB
2 - Handling the Dataset
9 - Load The Movies Dataset into the Movie Django Model.mp4
120.96 MB
10 - Create Ratings Model with Generic Foreign Keys.mp4
101.82 MB
7 - Django Management Command to add Fake User Data.mp4
95.00 MB
8 - Our Collaborative Filtering Dataset.mp4
56.07 MB
6 - Generate Fake User Data.mp4
50.41 MB
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