Recommendation-system

Repository containing a recommendation system data science project completed by me for acamedics, self-learning purposes. Presented in the form of ipython notebooks.

Much of my work was done on google colab and on my personal system.

Note: Data used in this project (accessed under data directory) is not my property, used only for educational purposes.

Exploratory data analysis on the data

Representation of a plot to view the number of posts made on different labels

As one can see that there are few or none posts for the labels while some labels exceeds very high amount of posts.

Another piece of visualization which shows the number of posts made for multiple lables in a single post.

Collaborative Filtering of the posts for the given users

Suppose, if the user likes technology and science category posts then he should get the recommendation from the posts containing technology and science category.

you can find the ipynb file here

Content Based Filtering of similar posts for the given post for a user

Suppose, if the posts is of cricket sports category then similar posts recommended should contain sports cricket category

you can find the ipynb file here