https://github.com/aryan4codes/course_recommender_system

This is a Course Recommender System using natural language processing and machine learning techniques. The system is designed to provide personalized course recommendations based on user-inputted text, allowing users to discover relevant courses tailored to their interests and skills.
https://github.com/aryan4codes/course_recommender_system

Last synced: over 1 year ago
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This is a Course Recommender System using natural language processing and machine learning techniques. The system is designed to provide personalized course recommendations based on user-inputted text, allowing users to discover relevant courses tailored to their interests and skills.

• Host: GitHub
• URL: https://github.com/aryan4codes/course_recommender_system
• Owner: aryan4codes
• License: mit
• Created: 2024-01-25T12:42:03.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-25T13:26:32.000Z (over 2 years ago)
• Last Synced: 2025-02-08T17:30:38.477Z (over 1 year ago)
• Language: Python
• Homepage: https://zeno-course-recommender.streamlit.app/
• Size: 2.18 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Course Recommender System - Powered by Coursera

This is a Course Recommender System using natural language processing and machine learning techniques. The system is designed to provide personalized course recommendations based on user-inputted text, allowing users to discover relevant courses tailored to their interests and skills.

![Course Recommender System](/output_image.png)

## Features

- **Text Preprocessing:** The system preprocesses course names, descriptions, and skills to create a unified set of features for similarity comparison.

- **Text Vectorization:** Utilizes Count Vectorization to convert text data into numerical vectors for machine learning analysis.

- **Stemming:** Applies stemming to normalize text and improve the accuracy of recommendations.

- **Cosine Similarity:** Utilizes cosine similarity to measure the similarity between user-inputted text and course data.

- **Streamlit App:** Offers a user-friendly interface through a Streamlit web application for easy interaction.

## Getting Started

1. **Clone the Repository:**

   ```bash

   git clone https://github.com/norZeNo/course-recommender-system.git

   cd course-recommender-system

## Requirements

- Python 3.x

- Pandas

- NumPy

- Matplotlib

- Seaborn

- NLTK

- Streamlit

- Scikit-learn

- Acknowle