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The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

License: GNU General Public License v3.0

Jupyter Notebook 94.71% Python 5.29%
anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

movie-recommendation-system's Introduction

๐Ÿ† GitHub Trophies

๐Ÿ’ซ About Me:

๐Ÿš€ Iโ€™m currently working on:

On a lot of Intersting things: You will soon see :-)


๐Ÿค Iโ€™m looking to collaborate on:

  • Machine Learning Projects: Particularly interested in collaborations focusing on linear regression and natural language processing, bringing my expertise to projects in these areas.

  • Open-Source Initiatives: Eager to contribute to open-source projects aligned with my interests, especially those centered around machine learning and Python development.

  • Automation Projects: Seeking opportunities to contribute my Python proficiency to projects that could benefit from efficient coding and innovative solutions.


๐Ÿ” Iโ€™m looking for help with:

  • Finding Datasets: Actively searching for diverse datasets to fuel machine learning projects, welcoming any leads or suggestions from the community.

  • Enhancing Skills: Seeking feedback and guidance to improve my skills in linear regression, NLP, and computer vision, aiming for continuous growth and proficiency.

  • Staying Informed: Open to tips and recommendations on staying up-to-date with the latest advancements in machine learning, eager to stay ahead in the rapidly evolving tech landscape.


๐Ÿ“š Iโ€™m currently learning:

  • Mahcine Learning Algorithms and their implementation: I am currently making as many projects as I can in the Machine Learning Space to really get a hold of the technology and prepare for the journey ahead.

  • Python: This is the language i use most often along JS to do most of my programming work and it is increasingly important to have a great command on the working of this language, its strenghts and weaknessess.

  • JavaScript: This is the language I use almost as much as Python. I am currently working on deepening my understading of the language and learning different frameworks that will become indisposable in my journey.


๐Ÿ’ก Ask me about:

  • Machine Learning Expertise: Passionate about machine learning, linear regression, and NLP, ready to discuss projects, share ideas, and exchange insights in these domains.

  • Pandas Library Mastery: Proficient in using the Pandas library for efficient data manipulation, available to provide guidance and assistance on any related queries.

  • Streamlining Development Workflows: Expertise in simplifying remote development environments and automation techniques, happy to share strategies and best practices.


โšก Fun Fact:

  • Self-Motivated Learner: Enthusiastic about tackling real-world challenges through code, driven by a passion for continuous learning and growth.

  • Community Contributor: Dedicated to open-source collaboration and giving back to the developer community, fostering a spirit of knowledge sharing and innovation.

  • Growth Mindset Advocate: Embracing a growth mindset philosophy, always eager to expand knowledge and skills through proactive learning efforts and diverse experiences.

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๐Ÿ’ป Tech Stack:

C C# C++ CSS3 HTML5 Java JavaScript Markdown Python Shell Script Windows Terminal GithubPages Anaconda Jenkins Apache MongoDB MySQL Matplotlib NumPy Pandas PyTorch scikit-learn TensorFlow Arduino Docker PowerShell Firebase .Net NodeJS Flask OpenCV Notion TOR

๐Ÿ“Š GitHub Stats:

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