Unlock the world of limitless learning possibilities! In this project, you will learn the essential skills of Natural Language Processing (NLP) and Machine Learning (ML) to identify similar courses like never before. You will start by preparing text for analysis through various stages, including cleaning, tokenization, and stemming. Then, you will use state-of-the-art NLP models like the BERT model to vectorize text for ML tasks. After that, you will learn how to determine the optimal number of clusters using different methods such as the elbow method, silhouette score, and gap statistic. You will then use the K-means algorithm for clustering and visualize similar courses in 2D and 3D plots. The project will culminate in searching and recommending the cluster based on your search term. This project is a perfect opportunity to gain hands-on experience in NLP and ML while also learning how to apply these techniques to real-world problems.   

In this project, you will learn how to:

A browser, and little background in python, and how to use Jupyter Notebook.