SAYANTAN BISWAS

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PROJECT DETAILS

  1. MOVIE RECOMMENDATION

    • Technologies Used: Scikit-Learn, Pandas, Seaborn, Streamlit, NLP
    • Built a Content-Based Recommender System (end-to-end)
    • Natural Language Processing used for finding Similarities.
    • Dataset Used: 5000 movies from TMDB (Kaggle)
    Link Here

  2. USED CAR PRICE PREDICTOR

    • Technologies Used: Scikit-Learn, Pandas, Seaborn, Streamlit, Regression.
    • Built an end-to-end project to predict the Price of an Used Car.
    • Linear Regression Model trained on the needed features
    • Dataset Used: Cardekho having 10k+ entries (Kaggle)
      • Link Here

  3. OLYMPICS DATA ANALYSIS

    • Technologies Used: Pandas, Matplotlib, Seaborn, Streamlit, Plotly, OOP.
    • Built and end to end project which Analyses the Olympics.
    • Highlights my Analytical Skills and Attention to detail.
    • DDataset Used: 120 years of Olympics (Kaggle)
      • Link Here