Item Based Recommender System It is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings of those items. It helps to discover products for customers. Posted by Zhiyi Li on July 15, 2022 · 2 mins read
UBC Capstone Project: Code Scripts Generation by using NLP A end to end pipeline to generate code scripts in Groovy from English instructions written by customers to accelerate software testing Posted by Zhiyi Li on June 30, 2022 · 8 mins read
Use Naive Bayes to classify spam messages Use Multinomial Naive Bayes model to classify spam messages and achieved 0.99 precision, recall and f1 score Posted by Zhiyi Li on December 01, 2021 · 9 mins read
Creating_Wordcloud_using_NLP_and_TF-IDF Creating Wordcloud using NLP and TF-IDF to visualize the key words mentioned in the recipes Posted by Zhiyi Li on November 12, 2021 · 1 min read