The task at the Internshala Buildathon 2019 was to create a smart recommendation system for suggesting the appropriate training programs provided by Internshala to the user.
A raw dataset of 2000 students was provided containing the required information of applied internships , timestamps and traning programs enrolled. Due to the confidentiality the dataset cannot be shared.
Numpy
Pandas
sklearn
Collaborative Filtering
Cosine similarity
Linear kernel
Flask