Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Fi

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of filtering is being developed in the course?
Hybrid filtering
Item-based collaborative filtering
Content-based filtering
User-based collaborative filtering
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is used for the movie recommendation system?
Random Forest
Support Vector Machine
K Nearest Neighbors
Decision Tree
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in implementing the K nearest neighbors algorithm?
Algorithm optimization
Model evaluation
Data preparation
Data visualization
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which programming language is used for building the recommendation engine?
C++
Java
R
Python
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What software is used to implement the project?
Jupyter Notebook
Eclipse
Visual Studio Code
PyCharm
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