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The goal of this project is to implement a Hybrid Recommender System that combines item-based and user-based recommendation methods to provide movie recommendations for a specific user. The system aims to offer a total of 10 movie recommendations by using both methods.

Home Page: https://medium.com/@emre_ates/what-are-recommendation-systems-in-simple-words-4e4334e8326b

Python 100.00%
correlation hybrid-recommendation hybrid-recommender-system recommendation-system recommender-system weighted-average-recommendation

hybrid-recommender's Introduction

Hi 👋, I'm Emre Ates

Experienced Marketeer and Passionate Data Scientist

With 12 years of experience leading and executing marketing projects across diverse industries—paper and packaging, video gaming, and fintech—I have a proven track record of driving robust sales growth, increasing leads, and fostering customer loyalty through strategic partnerships, digital advertising, and CRM analytics.

I am also passionate about data science and machine learning. Recently, I completed a bootcamp organized by Miuul where I learned valuable skills such as Python, Cohort Analysis, CLTV Prediction, Recommendation Systems, and Machine Learning. I am eager to apply my data analysis and problem-solving skills to generate insights and optimize marketing/sales performance. I am looking for a new challenge where I can leverage my data science expertise to make a positive impact.

  • 📝 I regularly write articles on medium/@emre_ates

  • 📫 How to reach me: [email protected]

  • 📄 Know about my experiences here.

  • Together, we will not only work with data but also decide how to create strategies from the data at hand. Let's embark on a journey that leads to deeper connections with your customers and data-driven success!

shape your strategy with data scientist | Emre Ates

Connect with me:

emreates reates @emre_ates

Languages and Tools:

git mssql python

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