Build a Recommendation System involving Web Scraping, Clustering Analysis and Web App with Python
Автор: Rinez
Загружено: 2022-09-10
Просмотров: 7196
Описание:
=============RECOMMENDATION SYSTEM=============
End-to-end project involving:
1/ Web Scraping
1.1/ Using Beautiful Soup to extract data from the web
1.2/ Clean the text and drop null entries
2/ Clustering Analysis
2.1/ Using Unsupervised learning techniques Kmeans, DBSCAN, Hierarchy & natural language processing (NLP)
2.2/ Tokenizing, stemming and are vectorized using NLTK's TF-IDF vectorizer
2.3/ From the TF-IDF matrix, the similarity distances between the texts are computed by substracting the cosine of vectors from 1.
2.4/ Finally, recommendations are queried using the matrix: once a game is selected, the top 5 closest games are returned.
3/ Web App Development
3.1/ Using Streamlit framework to build local Web App
3.2/ To be... Deploy global Web App
Group discuss: / 1496678944104313
Code: https://drive.google.com/drive/folder...
Contact for work/learn:
Zalo: +84869156147
Facebook: / rinnguyen0905
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