You have learned machine learning but didn’t work on any project. Then it’s time to embark on a project. In machine learning, only theoretical understanding is not enough. You should have some advanced machine learning projects in your portfolio. That’s why I am gonna share some Best Machine Learning Projects for Beginners.
These projects will definitely boost your resume and make you different from others. So I would recommend you to pick any project among these and start experimenting.
Now without further ado, let’s have a look at Best Machine Learning Projects for Beginners.
1. Recommendation System
As a beginner in machine learning, you can start your first project as a Recommendation system. Where you have to build a system that will recommend the products based on user history. Something like Amazon or Netflix.
You can build Music recommendation system, movie recommendation system, etc.
For the recommender system datasets, you can refer to the UCSD portal. In this portal, you will find some rich datasets that were used in lab research projects at UCSD.
This portal has various datasets available for recommender systems from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, etc.
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