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MahtabRanjbar/README.md

Mahtab Ranjbar

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  • 💻 I’m currently a Computer Science student, focusing on computer vision concepts.
  • 🔬 I'm particularly interested in the application of computer vision in the field of medical diagnosis.
  • 🌱 I am also associate member in Pytopia, a machine learning community.
  • 📫 How to reach me: mahtabranjbar93@@gmail.com

🖥 Skills

  • Deep Learning
  • Computer Vision
  • LLMs
  • Data Science
  • Data analysis

⚙️ Tech Stack

Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap

MahtabRanjbar MahtabRanjbar

⚡ To generate a README.md file like this for your profile, checkout Github Readme Generator.

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  1. Customer_Churn_Prediction Customer_Churn_Prediction Public

    Full‑stack Customer Churn Prediction app – FastAPI backend, Streamlit dashboard, PostgreSQL & Docker

    Python

  2. BERT-Model-Benchmark-for-IMDB-Sentiment-Classification BERT-Model-Benchmark-for-IMDB-Sentiment-Classification Public

    This project benchmarks various BERT-based models on the IMDB movie review dataset for sentiment classification, evaluating accuracy, precision, recall, and F1 score.

    Python

  3. ml-papers-rag ml-papers-rag Public

    A Retrieval-Augmented Generation (RAG) chatbot that answers questions about machine learning by leveraging a dataset of 100 LLM papers. It provides contextually relevant responses, supports configu…

    Python

  4. electricity_demand_prediction electricity_demand_prediction Public

    Ontario Electricity Demand and Price Forecasting Project

    Jupyter Notebook

  5. Onlineshopping_analysis_dashboard Onlineshopping_analysis_dashboard Public

    This project analyzes online shopper behavior using various machine learning models and EDA techniques.

    Python

  6. OptiFine-ml-app OptiFine-ml-app Public

    OptiFine is a Python-based web app that streamlines hyperparameter tuning for machine learning classifiers. It leverages the Streamlit framework and GridSearchCV algorithm from scikit-learn to enab…

    Python