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  1. Titanic_Machine_Learning_from_disaster Titanic_Machine_Learning_from_disaster Public

    Use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

    Jupyter Notebook

  2. Audiobooks-predicting-a-customer-will-Buy-again Audiobooks-predicting-a-customer-will-Buy-again Public

    Data Description: Data from an Audiobook app. Each customer in the database has made a purchase at least once. Variables in dataset: Customer ID, Book length in mins_avg (average of all purchases),…

    Jupyter Notebook

  3. Customer-Segmentation-using-K-means Customer-Segmentation-using-K-means Public

    Jupyter Notebook

  4. Predicting-used-car-prices Predicting-used-car-prices Public

    Predict used cars prices listed on online platform using python, sklearn and Linear Regression

    Jupyter Notebook

  5. TimeSeries-Analysis-on-CrimeRates TimeSeries-Analysis-on-CrimeRates Public

  6. Customer-brand-choice-model Customer-brand-choice-model Public

    Using IRI scanner and panel data, Perform exploratory data analysis Build a model to segment customers based on Loyalty and RMF Predict the likelihood of customers choosing Laundry Detergent Brands…