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  1. Predicting-Card-Loyalty-Score-for-a-Bank Predicting-Card-Loyalty-Score-for-a-Bank Public

    The main objective of this project is to predict user loyalty scores based on customer behaviour, information about merchants, and other significant features using regression analysis

    Jupyter Notebook

  2. My-Protofolio My-Protofolio Public

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  3. Clustering-and-Frequent-Pattern-Mining-on-a-bank-card-transaction Clustering-and-Frequent-Pattern-Mining-on-a-bank-card-transaction Public

    In this project, we used bank card transaction data to cluster users based on their spending behaviors using the K-means method. Also, we utilized the frequent pattern mining to discover patterns o…

    Jupyter Notebook

  4. Leaf-Classification Leaf-Classification Public

    The project aims to train a robust neural network model for classifying leaf types and offers an opportunity to explore various hyperparameter settings and optimization techniques for enhancing mod…

    Jupyter Notebook

  5. Airbnb-price-category-prediction-using-multi-modality-text-image-model Airbnb-price-category-prediction-using-multi-modality-text-image-model Public

    It is a Kaggle competition: The problem is determining the appropriate listing price for a new Airbnb listing, which is a common challenge for hosts. To accomplish this, we will use the listing's c…

    HTML

  6. Fake-Reddit-Prediction Fake-Reddit-Prediction Public

    It is a Kaggle competition: the problem was predict the label of the news if they are fake news or True news based on 60000 rows have fake news and right news in addition to some injected noise tha…

    Jupyter Notebook