This is a project which takes data of purchased laptops as .csv files and using ML algorithm, it recommends the laptops.
In this project surprise lin=b is used, surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data.
Surprise was designed with the following purposes in mind: Give users perfect control over their experiments. Alleviate the pain of Dataset handling. Provide various ready-to-use prediction algorithms Make it easy to implement new algorithm ideas. Provide tools to evaluate, analyse and compare the algorithms' performance. The name SurPRISE (roughly :) ) stands for Simple Python RecommendatIon System Engine.
GCP services such as storage is used to store and retrieve data files. so, you must have a GCP account with required permissions.
apache-airflow is used to schedule the task at specified time interval.