Course: Recommender Systems in Python

Run and modify the following deep learning recommender and share your experiences with others. from google.colab import driveimport osimport pandas as pdimport numpy as npimport pandas as pdimport numpy as …

Run and modify the following code and share your experiences. import pandas as pdfrom sklearn.metrics.pairwise import cosine_similaritypd.set_option('display.width', None)# 0 Load the movies and ratings datasets into two data frames.movies = …

Run and modify the following code and share your experiences with others. import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfrom itertools import combinationsimport seaborn as snsfrom sklearn.feature_extraction.text import …

Run and modify the following code and share your experiences. import numpy as npimport pandas as pd# Load the movie basic information dataset in a Pandas dataframe.# https://datasets.imdbws.com/title.basics.tsv.gzmovies = pd.read_csv('data.tsv', …

Run and modify the following “while-turtle.py” and share your experiences with others. import turtleimport timewindow = turtle.Screen()length = 200turtle.color("red","yellow")turtle.pensize(2)turtle.begin_fill()while True: turtle.forward(300) turtle.right(170) if abs(turtle.pos()) < 1: breakturtle.end_fill()time.sleep(5)

In data science, the similarity measure is a method of measuring how data samples are related or closed to each other. The similarity measure is essential for recommender systems. Please …

Nowadays, deep learning has revolutionized various fields within artificial intelligence and machine learning, ushering in a new era of innovation and automation. Refer to the video at https://youtu.be/6M5VXKLf4D4. Explore deep …

Run and modify the following code and share your experiences. You can try different k and see their difference. from sklearn.cluster import KMeansimport numpy as npimport matplotlib.pyplot as plt# Sample …

NVIDIA is famous for its AI productions. Refer to the video at https://youtu.be/d3L2uPuxOxU. Why is NVIDIA so important in the AI industry? How could NVIDIA products help AI applications?

Refer to the video at https://youtu.be/1rNYgQTQvYc and the article at https://www.nvidia.com/en-us/glossary/data-science/recommendation-system/ . Explain why recommendation systems run better with GPUs. Give some examples of GPU cards by NVIDIA.

Run and modify the following “svd-recommender.py” and share your experiences with others. from surprise import Datasetfrom surprise import Readerfrom surprise.model_selection import train_test_splitfrom surprise import SVDfrom surprise import accuracy# Load your …

Refer to the video about Amazon Go at https://youtu.be/NrmMk1Myrxc. Share your thoughts about Amazon Go. What do recommenders can enhance Amazon Go?

Movielens datasets are used to demonstrate examples in this course. Refer to the site at https://grouplens.org/datasets/movielens/. Can you provide examples of businesses or services that could benefit from the analysis …

The cold start problem is common in recommender systems. The following article at https://analyticsindiamag.com/cold-start-problem-in-recommender-systems-and-its-mitigation-techniques/ is for your reference, which you can explore further for additional insights of this problem and …