Predicts the missing values in the collaborative filtering

Assignment Help Marketing Research

Reference no: EM132910941

COSC 2670 Practical Data Science with Python - RMIT University

Tasks

Task 1: Implementation

In this task, you are required to implement the solution in the provided report so as to predict the missing values in Collaborative Filtering.

Note, you are required to implement your own implementation, and please do not use any other libraries that are related to Recommender Systems or Collaborative Filtering. If you use any of these libraries, your implementation part will be invalid.

We provide Python framework code (named assignment3 framework.ipynb) to help you get started, and this will also automate the correctness marking. The framework also includes the training data and the test data.

Please only put your own code in the provided cell in the framework as shown in Figure1, Please DO NOT CHANGE anything else in the rest cells of the framework, otherwise they might cause errors during the automatic marking.

Please provide detailed comments to explain your implementation. To what level of details should you provide in your solution? Please take the comments in the ipynb files in Week 10 (knn based cf updated.zip) as examples for the level of detailed comments you are expected to put for your solution.

Task 2: Presentation

- The presentation should
- Explain how the solution in the provided report predicts the missing values in the Collaborative Filtering by using your own language clearly and completely.
- Explain why the solution in the provided report can tackle the missing value problem in Collaborative Filtering clearly and completely.
- Explain how you implement the solution clearly and completely.
- The presentation should be no more than 10 minutes.
- Your presentation slides should be:
- Microsoft PowerPoint slides (with audio inserted for each slide by using: Insert
- > Audio - > Record Audio).
- or you can create your own presentation slides (e.g. PDF version) and please submit your own recording (in the format of mp4 or avi) of your presentation as well.

Attachment:- Practical Data Science with Python.rar

Reference no: EM132910941

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