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  1. How do we get suggestions for movies based on our likes and preference or how do we get items similar to that we searched of or brought on e commerce websites? Well, because of something called as …

    Jupyter Notebook

  2. A Machine Learning Regression problem to predict the price of the used cars with deployment on Heroku and cloud platforms like AWS,GCP and Azure.

    Jupyter Notebook

  3. A Machine Learning classification problem to predict financial delinquency. This is a use case of imbalanced data which I have attempted to solve here.

    Jupyter Notebook

  4. Segmenting the customers based on their purchase history to target them with various business strategies to eventually help the business grow.

    Jupyter Notebook

  5. We are scrapping data from an E-commerce website, use MongoDB to create a database " crawlerDB" and store the data in a collection. We have created a flask app for the same.

    Jupyter Notebook

78 contributions in the last year

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Contribution activity

January 2022

sonik8494 has no activity yet for this period.