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The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.

Home Page: https://paritoshtripathi935.github.io/Product-Matching/

Python 94.58% Jupyter Notebook 5.42%
collaborative-filtering django machine-learning nlp opencv product-matching python data-science langchain amazon-scraper

product-matching's Introduction

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Python C++ Shell Script LaTeX Java AWS Azure Google Cloud Heroku DjangoREST Django Flask FastAPI Jenkins Postgres Figma Canva Keras NumPy Pandas Plotly PyTorch scikit-learn TensorFlow SciPy LINUX Postman Jira Docker Notion Confluence

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Python       10 hrs          █████████████████▓░░░░░░░   70.72 %
Other        1 hr 37 mins    ███░░░░░░░░░░░░░░░░░░░░░░   11.47 %
INI          53 mins         █▓░░░░░░░░░░░░░░░░░░░░░░░   06.30 %
YAML         40 mins         █▒░░░░░░░░░░░░░░░░░░░░░░░   04.80 %
JSON         36 mins         █░░░░░░░░░░░░░░░░░░░░░░░░   04.30 %

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