A brief description of the project.
This project involves analyzing data related to exhibitors and visitors. The goal is to clean and preprocess the data, perform similarity analysis between exhibitors and visitors based on their professions and categories, and recommend exhibitors to visitors using cosine similarity.
pandas numpy gensim scipy sklearn
exhibitors.csv: CSV file containing data about exhibitors visitors.csv: CSV file containing data about visitors script.py: Python script for data cleaning, preprocessing, analysis, and recommendation
README.md: This README file providing information about the project Usage Ensure you have Python installed on your system. Install the required libraries using pip install -r requirements.txt. Place the exhibitors.csv and visitors.csv files in the same directory as the script. Run the script using python script.py. Follow the instructions provided in the script's comments to understand each step of the process.
Abhishek yadav
Om Rope
Daksh kothari